DataGym.ai
  • DataGym.ai
  • Getting Started
  • Project
    • What is a project?
    • Create a new project
    • Update a project
    • Delete a project
    • Connect a dataset
    • Export data
    • Import Data
  • Dataset
    • What is a dataset?
    • Create a new dataset
    • Update a dataset
    • Connect with AWS S3
    • Delete a dataset
    • Manage images
      • Upload to DataGym.ai
      • Add public links
      • Synchronize with AWS S3
    • Connect to a project
    • Use the review mode
  • Label configuration
    • What is a label configuration?
    • Configuration entry
    • Entry types
    • Creating an entry
    • Editing an entry
    • Duplicating an entry
  • Label mode
    • What is the label mode?
    • Entry-list
    • Value-list
    • Task control
    • Toolbar
    • Workspace
    • AI-assisted labeling
    • Video labeling
  • Tasks
    • What is a task?
    • Process a task
    • Manage Tasks
  • AI-Assistant
    • AI-assisted pre-labeling
    • Object Classes
  • API Token
    • API
    • Manage API Token
  • Account-Management
    • Account Settings
    • Organisation-Management
  • Python API
    • Getting Started
    • Projects
    • Labeled data
    • Datasets
    • Images
    • Label configuration
    • Uploading COCO
  • Changelog
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  1. Dataset

Update a dataset

How to update a dataset

PreviousCreate a new datasetNextConnect with AWS S3

Last updated 5 years ago

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To update an existing dataset go to the settings tab of the dataset page. The respective route looks like /datasets/details/<id>/settings where <id> defines the project.

The same rules apply when creating a new dataset. They can be found . The buttons to reset the form or save the changes are not active until something is changed.

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The dataset owner cannot be changed.