Chapter 5

Dataset Setup and Management

Learn how to create structured datasets, upload media files, sync new items to active annotation projects, and manage dataset lifecycles.

Overview

Datasets are collections of files of a specific type (e.g. Audio, Video, Image, PDF, Text, CSV). They are used to generate annotation tasks within projects. Navigate to Datasets in the left sidebar to manage them. Only Company Admins and Super Users can perform dataset setup and management.

Guide: Creating a Dataset

Step-by-Step Guide

1

Select Datasets from the left sidebar

Click the Datasets icon in the primary navigation.

Figure 18: Datasets List Page

Figure 1: Datasets List Page

2

Click the Create Dataset button

Located in the upper right corner of the Datasets view.

Figure 19: Create Dataset Button

Figure 2: Create Dataset Button

3

Configure dataset parameters

Provide a Name, optional Description, and select a Type from the dropdown: IMAGE, TEXT, PDF, VIDEO, AUDIO, or CSV.

Figure 20: Create Dataset Form

Figure 3: Create Dataset Form

4

Click Save

The dataset container is created and ready for file ingestion.

Guide: Adding Files to a Dataset

Step-by-Step Guide

1

Open the target dataset

Click directly on the name of your dataset from the Datasets list.

Figure 21: Dataset Details Page

Figure 4: Dataset Details Page

2

Click Upload Files

The file ingestion modal appears.

Figure 22: Upload Files Button

Figure 5: Upload Files Button

3

Browse or Drag-and-Drop files

Select media files matching your dataset type from your local workstation or drag them into the upload dropzone.

Figure 23: Upload Files - Drag and Drop Area

Figure 6: Upload Files - Drag and Drop Area

4

Wait for upload completion

Progress indicators track file verification. Once finished, all files appear in the dataset list with status and item counts.

Managing Datasets

  • Datasets Dashboard: Displays Dataset Name, Company Name, Updated At, Type, and Items Count.
  • Add to Projects: Select one or more datasets via checkboxes and click Add to Projects to link them to an active project.
    Figure 24: Dataset - Add to Projects

    Figure 7: Dataset - Add to Projects

  • Add Files & Sync: You can add files to a dataset even after it is linked to a live project. Use the Sync button to generate tasks for newly added files automatically (see Section 7.3).
    Figure 25: Dataset - Add Files and Sync

    Figure 8: Dataset - Add Files and Sync

  • Delete Dataset: Select and click Delete to permanently remove a dataset. Note: You cannot delete a dataset if it is currently linked to an active project.
  • Delete Files: Select specific files within the dataset details view and click Delete.
  • Search Files: Use the search filter bar to quickly locate files by filename or extension.

Dataset File View

The Dataset File View feature provides enhanced options for browsing and managing files within a dataset. It introduces a thumbnail-based View tab alongside the traditional List tab, with support for file previewing, pagination, and file type-specific behaviors (including Images, PDF, PDFOCR, Audio, Video, TEXT, and CSV).

Dataset Access and View Modes

When you open a dataset (e.g., from the Datasets list page), the dataset details page opens with two tabs visible: List and View.

  • List Tab: This is selected by default and displays all files in a standard list format. Clicking on any file in this tab opens the file’s metadata popup (this existing behavior remains unchanged).
  • View Tab: Clicking the View tab switches the layout to display files as thumbnails. Each thumbnail card includes a preview (or a file-type icon), the file name, and a copy-name icon button.
Figure 34: Dataset – View Tab (Thumbnails)

Figure 9: Dataset – View Tab (Thumbnails)

File Thumbnail Controls and Pagination

In the View tab, you can navigate and manage files using the following controls:

  • Pagination: Below the file thumbnails, you can find the items-per-page control and pagination controls. The displayed thumbnails correspond directly to the currently selected page and items-per-page value.
  • Thumbnail Controls: Each file thumbnail features a checkbox in the top-left corner for selection, an expand icon in the top-right corner to open the file viewer, and a copy-name icon button.

File Viewer and Navigation

Clicking the expand icon on a thumbnail opens the File Viewer Popup:

  • Layout: The selected file is displayed in the main view area. The file metadata is shown in a panel on the right side. The file name and previous/next navigation controls are located at the top-left, and a close icon is at the top-right.
Figure 35: Dataset File Viewer and Metadata Panel

Figure 10: Dataset File Viewer and Metadata Panel

  • Navigation: You can click the next or previous controls to navigate through the available files sequentially. The previous control is disabled on the first file, and the next control is disabled on the last file.
Figure 36: Dataset File Viewer - Navigation Controls

Figure 11: Dataset File Viewer - Navigation Controls

File Type-Specific Viewing Behavior

  • Images: The entire image is visible in the view area without requiring scrolling.
  • PDF and PDFOCR: The view area supports both vertical and horizontal scrolling, allowing you to scroll through all pages of the document.
  • TEXT and CSV: The complete file content is displayed in the view section. The view area supports both vertical and horizontal scrolling to accommodate large amounts of text or wide data tables.
  • Video and Audio: Media files fit within the view section without requiring scrolling.
    • Playback Controls: You can play/pause the media and use the progress bar to move forward or backward. The current playback time and total duration are displayed and updated in real time.
    • Audio Controls: A mute/unmute control is available. Note: When opening a video file, the audio is muted by default.

File Selection and Deletion in the View Tab

You can select one or more files in the View tab by clicking the checkbox on their thumbnails.

  • Visual Indicator: Selected files are visually highlighted.
  • Deletion: Selecting at least one file activates the Delete button. Clicking the Delete button initiates the existing file deletion flow, permanently removing the selected files from the dataset. Deselecting all files will deactivate the Delete button.

Release notes - 2026

What’s New in 2026 — new capabilities, refinements, and fixes, in the order they landed.

v0.9 October 6, 2026

Dataset File View

Location: 5. Dataset Setup and Management

We’ve introduced a new Dataset File View in TensorAct, making it easier to browse, preview, and manage files within a dataset. Users can now switch between the existing List view and the new View tab, which displays files as thumbnails with file previews, file names, and quick actions. The new File Viewer allows users to preview files and navigate between them using Previous and Next controls, while supporting file-specific viewing for Images, PDF, PDFOCR, TEXT, CSV, Audio, and Video files. Pagination and items-per-page controls make it easier to navigate large datasets, while file selection allows users to select and delete multiple files directly from the View tab. Additional controls such as file-name copying, media playback, progress tracking, and audio controls provide a more convenient and efficient dataset file management experience.

Change Task Stage from the Project Task List

Location: 8. Projects and Task Management

Project managers and administrators can now quickly change the stage of multiple tasks directly from the Project Task List. By selecting one or more tasks, users can transition tasks to different stages without needing to open each task individually. This enhancement significantly speeds up project management workflows and bulk task tracking.

Azure Blob Storage Integration

Location: 7. Integrations

TensorAct now supports direct integration with Azure Blob Storage. Users can securely connect their Azure storage accounts using either a Shared Access Signature (SAS) Token or a Service Principal. Once connected, users can browse their Azure storage containers directly from the TensorAct interface, select specific folders, and seamlessly import large batches of files into their datasets.

Reviewer Feedback and Pinned Feedback Management

Location: 8. Projects and Task Management

We’ve enhanced the feedback loop between annotators and reviewers. Reviewers can now add detailed feedback and pin specific issues directly to task items. The new issue management panel allows annotators to see all pinned feedback at a glance, reply to comments, and resolve issues systematically, ensuring higher data quality and clearer communication during the review process.

Email Notification Triggers

Location: 17. Email Templates

Administrators can now configure automated email notification templates and triggers. Located in the Settings menu, this feature allows you to customize the content of emails sent to users based on specific system events, keeping project teams instantly informed about task assignments, stage changes, and critical updates.

Uploading and Importing Files

Location: 6. File Management

We have introduced clearer guidelines and limits for file uploads to ensure optimal performance. Users uploading files from their local device can select and upload up to 100 files at a time. For larger batch imports, users leveraging our cloud storage integrations (AWS S3, Google Cloud Storage, or the new Azure Blob Storage) can import up to 25,000 files in a single action.

v0.8 September 8, 2026

Release Summary

Change Type Sections
Added
Updated
Removed No sections removed in this release

Sign-Up & Onboarding

Location: 1. Sign-Up & Onboarding

We’ve introduced a comprehensive Sign-Up and Onboarding system in TensorAct, establishing standardized self-registration and administrator-guided onboarding workflows. Users with verified business email domains can now self-register directly into their company’s workspace, receiving an automated temporary password with mandatory password change enforcement upon first sign-in. For users from unregistered companies, the system detects the domain and provides a streamlined modal to submit a new company registration request to our team. Additionally, the release introduces administrator-initiated user creation with welcome notifications, secure password rotation for pending onboarding invites, and strict email validation rules that reject personal email providers to safeguard platform security.

Deleting Users

Location: 4. User Management

Super Users and Company Admins can now permanently delete user accounts directly from the Users list. The feature supports bulk operations via multi-select checkboxes and incorporates a safety confirmation modal requiring administrators to type DELETE in uppercase to prevent inadvertent deletions. Deletion immediately invalidates active user sessions, presenting an access revocation message upon sign-in. To maintain workflow integrity, in-progress tasks are handled automatically: unsubmitted annotation and review tasks claimed by deleted users are released back to the pool for other team members to claim, while all previously submitted annotations and review decisions remain fully preserved.

Google Cloud Storage (GCS) Integration

Location: 7. Integrations

TensorAct has expanded its cloud storage integrations to include native support for Google Cloud Storage (GCS) alongside AWS S3. Accessible under the Integrations menu, administrators can connect GCS buckets using a secure Google Cloud Service Account permission model without handling static access keys. The platform provides pre-generated CORS setup commands for Google Cloud Shell and includes a built-in integration testing tool to verify bucket connectivity against object URLs. Once configured, users can browse GCS bucket directories, search files, and import large datasets directly into TensorAct from the cloud file browser.

Email Templates

Location: 17. Email Templates

Super Users can now customize and manage automated platform notification emails via the Email Templates interface located in Settings. The platform maps distinct email templates to critical system events, including Password Reset, MFA/OTP verification, new account Welcome messages, company access invitations, project team assignments, and account activation or deactivation alerts. This centralized notification management ensures project teams and users receive clear, automated, and timely communication across the entire user and project lifecycle.

Exporting Results

Location: 8. Projects and Task Management

Users can now export task annotation results directly from the Project Tasks dashboard. The export process packages output data into a structured ZIP archive named after the project (<Project Name>.zip), containing individual JSON files for each task (<Task Name>_<Project Name>.json) to guarantee modular data management. The export scope adapts dynamically based on user selection: teams can export specific manually checked tasks, all displayed tasks using the master checkbox, or filter exports by workflow stage (such as exporting only completed tasks under the Complete node filter).

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