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- Introduction
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields (previously entities)
- Labels (predictions, confidence levels, hierarchy, etc.)
- Models
- Streams
- Model Rating
- Projects
- Precision
- Recall
- Annotated and unannotated messages
- Extraction Fields
- Sources
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Messages
- Access Control and Administration
- Manage sources and datasets
- Understanding the data structure and permissions
- Create or delete a data source in the GUI
- Uploading a CSV file into a source
- Preparing data for .CSV upload
- Create a new dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amend dataset settings
- Delete messages via the UI
- Delete a dataset
- Export a dataset
- Using Exchange Integrations
- Model training and maintenance
- Understanding labels, general fields, and metadata
- Label hierarchy and best practices
- Analytics vs. automation use cases
- Turning your objectives into labels
- Overview of the model training process
- Generative Annotation (NEW)
- Dastaset status
- Model training and annotating best practice
- Training with label sentiment analysis enabled
- Understanding data requirements
- Train
- Introduction to Refine
- Precision and recall explained
- Precision and recall
- How does Validation work?
- Understanding and improving model performance
- Why might a label have low average precision?
- Training using Check label and Missed label
- Training using Teach label (Refine)
- Training using Search (Refine)
- Understanding and increasing coverage
- Improving Balance and using Rebalance
- When to stop training your model
- Using general fields
- Generative extraction
- Using analytics and monitoring
- Automations and Communications Mining
- Licensing
- FAQs and more
Important :
Communications Mining is now part of UiPath IXP. Check the User Guide Introduction for more details.
Communications Mining User Guide
Last updated May 23, 2025
Create or delete a data source in the GUI
Note:
You need to have the Sources Admin permission assigned to create or delete a data source in the GUI.
In addition, this permission allows you to create a new source when you create a new dataset.
When you create a source in the GUI, an empty source with defined properties is set up. Then, you can upload data to it via the API. For more details, check the API docs.
Alternatively, you can create a source via the API. This method may be more suitable for non-technical users to define their source properties before a technical user uploads the data.
- Navigate to the Sources page in the Admin console.
- Select the New source button.
- Fill in the required source properties, which include:
- Source project
- Source name
- Source title
- Source description
- Sensitive propertiesNote: Requires the View sensitive data permission to view.
- Language
- TranslationNote: Requires the Create translated sources permission.
- Select Create source.
