ixp
latest
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- Introduction
- Setting up your account
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields
- Labels (predictions, confidence levels, label hierarchy, and label sentiment)
- 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
- Creating or deleting a data source in the GUI
- Uploading a CSV file into a source
- Preparing data for .CSV upload
- Creating a dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amending dataset settings
- Deleting a message
- Deleting a dataset
- Exporting a dataset
- Using Exchange integrations
- Model training and maintenance
- Understanding labels, general fields, and metadata
- Label hierarchy and best practices
- Comparing analytics and automation use cases
- Turning your objectives into labels
- Overview of the model training process
- Generative Annotation
- Dastaset status
- Model training and annotating best practice
- Training with label sentiment analysis enabled
- Training chat and calls data
- Understanding data requirements
- Train
- Introduction to Refine
- Precision and recall explained
- Precision and Recall
- How validation works
- Understanding and improving model performance
- Reasons for label 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™
- Developer
- Exchange Integration with Azure service user
- Exchange Integration with Azure Application Authentication
- Exchange Integration with Azure Application Authentication and Graph
- Fetching data for Tableau with Python
- Elasticsearch integration
- Self-hosted Exchange integration
- UiPath® Automation Framework
- UiPath® Marketplace activities
- UiPath® official activities
- How machines learn to understand words: a guide to embeddings in NLP
- Prompt-based learning with Transformers
- Efficient Transformers II: knowledge distillation & fine-tuning
- Efficient Transformers I: attention mechanisms
- Deep hierarchical unsupervised intent modelling: getting value without training data
- Fixing annotating bias with Communications Mining™
- Active learning: better ML models in less time
- It's all in the numbers - assessing model performance with metrics
- Why model validation is important
- Comparing Communications Mining™ and Google AutoML for conversational data intelligence
- Licensing
- FAQs and more
Exporting a dataset
Important :
Communications Mining is now part of UiPath IXP. Check the Introduction in the Overview Guide for more details.

Communications Mining user guide
Last updated Aug 1, 2025
Exporting a dataset
Note: You must have assigned the Dataset - Export permission as
an Automation Cloud™ user, or the Export datasets permission as a
legacy user.
You can export the messages and associated label predictions directly from the GUI as a CSV file.
If you have the Dataset - Export (Automation Cloud) or Export datasets (legacy) permission, you can export the entire dataset, or a subset based on filters. Otherwise, you can only download the current page of messages in the Explore tab.
- Navigate to the Explore tab.
- Select the export button as shown in the following image:
- Select one of the following
options:
- Just this page - Exports only the current page of messages.
- All matching messages - Exports all messages that match the
current filters that you have applied in the Explore tab. For
example, a given time period, or a metadata property such as NPS score
greater than
>
8.
If you apply a label filter, this acts as a sort order for the messages in the CSV download. The messages are ordered by the confidence score of the selected label that applies to that message.
- Once your select the export option, Just this page or All matching messages, the platform triggers triggers a CSV download of your data.