Create a new dataset

User permissions required: ‘Datasets admin’.

To create a new dataset:

Go to the datasets page and select New Dataset which reveals a modal to create the new dataset.

New Dataset modal

Complete the form with all the relevant information, then select Next to progress through each step:

1. From the drop-down menu, select the Project that the dataset should be in. You can assign the dataset to any of the projects that you are a member of.
2. Select an Existing source from the drop-down list or add a new one. To add a new data source:
   • Tick the New source radio button.
   • Enter the Source Name and API Name. You can't change the API name once added.
   • Note: You can add a new source only if you have the Source Admin permission.
     
     

     

     
     
3. Note: If you have the Tenant Admin permission, you can create a new project.
   Select the Create new option from the drop-down list:
   
   
   
   
4. Add the new project's Title and API name, then select Save.
   
   

   

   
   
   Note: Once you add a new project, you will automatically be set as the project founding user. This terminology will soon change to project owner, and you will have all the permissions in that project.
5. Add the title in the Dataset Name field, to provide more information on the dataset that you create.
6. Give the dataset a descriptive name under the API Name field, using hyphens instead of spaces - e.g. zendesk-cs-chats.
7. Set the Model language(s)
   • Confirm the model language, i.e. English that matches the language of your data. If you select a Multilingual model, see the Multilingual sources and datasets page for more details.
8. Define labels
   
   

   

   
   
   Choose a Dataset by selecting Import from a dataset option from the Import labels drop-down list. This copies labels and descriptions only from an existing dataset. To copy an entire dataset, select Duplicate from the Datasets page.
9. Add Additional settings
   
   

   

   
   
   • Add any pre-trained labels to your dataset. Some examples could include chaser, urgent, out of office, etc. You do not have to enable any during the dataset creation, and you can always enable them later in the dataset settings page as well.
   • Set the sentiment and language(s) of the dataset:
     • Enable or disable sentiment analysis - with sentiment analysis enabled every label in the taxonomy has an associated positive or negative sentiment, visit the Enabling sentiment on a dataset page, to understand why you would or wouldn't enable it.

Select Create to create the dataset.

Note:

• You can add up to 20 individual sources to a dataset in the GUI.
• Sources can sit in a different project to a dataset. As long as users have the appropriate permissions in each project, they will be able to see the messages and label as usual.
• If there are multiple sources in a dataset, they should share a similar intended purpose for your analysis.