Datasets

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Note

This documentation is only relevant for customers with early access to Encord Storage. Contact [email protected] to learn more and gain access.

If you do not have access to Storage, please see our documentation here to learn about Datasets.

Creating Datasets

See our video on creating Datasets, or follow the step-by-step tutorial below to learn how to create Datasets in Encord.

1. Click the New dataset button in the Datasets section under the Index heading, to create a new Dataset.

2. Give your Dataset a meaningful title and description. A clear title and description keeps your data organized.

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Tip

Toggle Looking to create a mirrored dataset? to create a mirrored Dataset).

3. Click Create dataset to create the Dataset.

Attach data

After a Dataset has been created, you can attach data.

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Tip

You can add data to Datasets from Storage.

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Note

We recommend uploading smaller batches of data: limit uploads to 100 videos and up to 1000 images at a time. You have the option to create multiple Datasets, all of which can be linked to a single Project. Familiarize yourself with our limits and best practices for data import before uploading data to Encord.

1. Navigate to the Datasets section under the Index heading.
2. Click the Dataset you want to add data to.
3. Click +Attach existing files.

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Tip

If the files you want have not been uploaded to Index, you can click +Upload files to upload new files.

4. Select the files and folders you want to attach to the Dataset. You can double click a folder to open it and view the files the folder contains.

5. Click Attach data to attach the selected files to the Dataset.

Upload cloud storage data

1. Create a correctly formatted JSON or CSV file specifying the data you would like to add to the Dataset.

2. Click the upload area, or drag-and-drop the JSON or CSV files which specify which cloud storage data should be uploaded. Your stored objects may contain files which are not supported by Encord and which may produce errors on upload - toggle the Ignore individual file errors toggle to ignore these. Click Add data when you're ready.

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Note

The data is fetched from your cloud storage and processed asynchronously. This processing involves fetching appropriate metadata and other file information to help the Encord platform render the files appropriately and to check for any framerate inconsistencies. We do not store your files in any way.

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Note

For information on how to add data from your private cloud go here

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Entity relationships

The following diagram illustrates how Datasets relate to other entities in Encord.

• Projects bring together Ontologies, Datasets, Workflows, and collaborators.
• A Project can have multiple Datasets attached to it, but only one Ontology.
• One Ontology can be attached to multiple Projects.

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Roles and permissions

Collaborator permissions can be set in the Team section of the Dataset Settings.

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Manage Datasets

Use the Datasets tab in the Navigation bar to manage your Datasets.

Click a Dataset to:

• Upload additional files to the Dataset.
• Remove files from the Dataset.
• Manage who has access to the Dataset.

The dashboard is split into two tabs:

• The Data tab.
• The Settings tab.

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Data tab

Use the data tab to upload, and manage existing files.

• A - Click and select (or drag-and-drop) files into the area highlighted below to upload files to a Dataset.

• B - Manage files contained in the Dataset.

  • Edit the filename by clicking the icon.
  • Select a file by clicking the checkbox next to the file name.
  • Select a file and press to delete the file from a dataset.
  • Re-encode a file by selecting it and pressing the Re-encode(auto) button.

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Settings tab

Team

The Team pane shows a list of collaborators on the Dataset.

• Invite collaborators by clicking the + Invite collaborators button and adding their emails.
• New collaborators are assigned the 'Viewer' role by default. A 'Viewer' cannot make changes to the Dataset, only an 'Admin' can.
• Collaborators can be upgraded to an 'Admin' using the 3 dots to the right of their name.
• Click the icon to delete a collaborator.

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Note

An 'Admin' cannot be reverted to a 'Viewer'. To do so you must delete and re-invite the user.

Linked Projects

The Projects pane shows a list of Projects using the Dataset.

Click on View to navigate to that Project.

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Danger zone (Delete Datasets)

Use the Danger zone pane to delete Datasets.

Click the Delete dataset button to delete the entire Dataset. You are prompted to type the word 'delete' into the resulting pop-up to delete the Dataset.

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Caution

Deleting a Dataset can't be undone. Make sure you want to perform this action before continuing.