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  • Tonic Textual guide
  • Getting started with Textual
  • Previewing Textual detection and redaction
  • Entity types that Textual detects
    • Built-in entity types
    • Managing custom entity types
  • Language support in Textual
  • Datasets - Create redacted files
    • Datasets workflow for text redaction
    • Creating and managing datasets
    • Assigning tags to datasets
    • Displaying the file manager
    • Adding and removing dataset files
    • Reviewing the sensitivity detection results
    • Configuring the redaction
      • Configuring added and excluded values for built-in entity types
      • Working with custom entity types
      • Selecting the handling option for entity types
      • Configuring synthesis options
      • Configuring handling of file components
    • Adding manual overrides to PDF files
      • Editing an individual PDF file
      • Creating templates to apply to PDF files
    • Sharing dataset access
    • Previewing the original and redacted data in a file
    • Downloading redacted data
  • Pipelines - Prepare LLM content
    • Pipelines workflow for LLM preparation
    • Viewing pipeline lists and details
    • Assigning tags to pipelines
    • Setting up pipelines
      • Creating and editing pipelines
      • Supported file types for pipelines
      • Creating custom entity types from a pipeline
      • Configuring file synthesis for a pipeline
      • Configuring an Amazon S3 pipeline
      • Configuring a Databricks pipeline
      • Configuring an Azure pipeline
      • Configuring a Sharepoint pipeline
      • Selecting files for an uploaded file pipeline
    • Starting a pipeline run
    • Sharing pipeline access
    • Viewing pipeline results
      • Viewing pipeline files, runs, and statistics
      • Displaying details for a processed file
      • Structure of the pipeline output file JSON
    • Downloading and using pipeline output
  • Textual Python SDK
    • Installing the Textual SDK
    • Creating and revoking Textual API keys
    • Obtaining JWT tokens for authentication
    • Instantiating the SDK client
    • Datasets and redaction
      • Create and manage datasets
      • Redact individual strings
      • Redact individual files
      • Transcribe and redact an audio file
      • Configure entity type handling for redaction
      • Record and review redaction requests
    • Pipelines and parsing
      • Create and manage pipelines
      • Parse individual files
  • Textual REST API
    • About the Textual REST API
    • REST API authentication
    • Redaction
      • Redact text strings
  • Datasets
    • Manage datasets
    • Manage dataset files
  • Snowflake Native App and SPCS
    • About the Snowflake Native App
    • Setting up the app
    • Using the app
    • Using Textual with Snowpark Container Services directly
  • Install and administer Textual
    • Textual architecture
    • Setting up and managing a Textual Cloud pay-as-you-go subscription
    • Deploying a self-hosted instance
      • System requirements
      • Deploying with Docker Compose
      • Deploying on Kubernetes with Helm
    • Configuring Textual
      • How to configure Textual environment variables
      • Configuring the number of textual-ml workers
      • Configuring the number of jobs to run concurrently
      • Configuring the format of Textual logs
      • Setting a custom certificate
      • Configuring endpoint URLs for calls to AWS
      • Enabling PDF and image processing
      • Setting the S3 bucket for file uploads and redactions
      • Required IAM role permissions for Amazon S3
      • Configuring model preferences
    • Viewing model specifications
    • Managing user access to Textual
      • Textual organizations
      • Creating a new account in an existing organization
      • Single sign-on (SSO)
        • Viewing the list of SSO groups in Textual
        • Azure
        • GitHub
        • Google
        • Keycloak
        • Okta
      • Managing Textual users
      • Managing permissions
        • About permissions and permission sets
        • Built-in permission sets and available permissions
        • Viewing the lists of permission sets
        • Configuring custom permission sets
        • Configuring access to global permission sets
        • Setting initial access to all global permissions
    • Textual monitoring
      • Downloading a usage report
      • Tracking user access to Textual
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On this page
  • Supported file types for datasets
  • Adding files to the dataset
  • Removing files from the dataset
  • From the dataset file list
  • From the file manager

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  1. Datasets - Create redacted files

Adding and removing dataset files

Last updated 14 days ago

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Supported file types for datasets

Tonic Textual can process the following types of files:

  • txt

  • csv

  • tsv

  • docx

  • xlsx

  • pdf

  • png

  • tif or tiff

  • jpg or jpeg

On a self-hosted instance, you can configure an S3 bucket where Textual stores the files. This is the same S3 bucket that is used for uploaded file pipelines. For more information, go to Setting the S3 bucket for file uploads and redactions. For an example of an IAM role with the required permissions, go to .

Adding files to the dataset

Required dataset permission: Upload files to a dataset

From the dataset details page, to add files to the dataset:

  1. In the panel at the top left, click Upload Files.

  1. Search for and select the files.

Tonic Textual uploads and then processes the files.

Do not leave the page while files are uploading. If you leave the page before the upload is complete, then the upload stops.

You can leave the page while Textual is processing the file.

On a self-hosted instance, when a file fails to upload, you can download the associated logs. To download the logs, click the options menu for the file, then select Download Logs.

Removing files from the dataset

Required dataset permission: Delete files from a dataset

To remove a file from the dataset, you can use the option in the dataset file list or on the file manager.

From the dataset file list

From the file list on the dataset details page, to remove a file from the dataset:

  1. Click the options menu for the file.

  2. In the options menu, click Delete.

From the file manager

From the file manager, to remove a file from the dataset:

  1. Click the options menu for the file.

  2. In the options menu, click Delete File.

Example IAM role for file uploads and redactions
Dataset files list with the upload option
Options menu for a dataset file
File options menu for a file on the file manager