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How do recommended datasets work in Robot Studio?
How do recommended datasets work in Robot Studio?

Train robots faster with AI-recommended datasets that automatically detect and label data points in lists, saving you valuable setup time.

Nick Simard avatar
Written by Nick Simard
Updated this week

What are recommended datasets?

Recommended datasets are an AI-powered feature in Robot Studio that analyzes list items on a webpage and automatically identifies the most relevant data points for extraction.

This feature helps you:

  • Save time when training robots to extract data from lists

  • Automatically label columns with appropriate names

  • Skip manual selection for common data extraction scenarios

Using recommended datasets

When you select a list you'd like to scrape, your robot immediately begins scanning the items to detect the most relevant data points:

  1. Select the list on the webpage you want to extract data from

  2. Wait a few seconds while the robot analyzes the content

  3. Review the recommended dataset that appears with auto-labeled columns

  4. Save the captured list or make customizations as needed

The entire process takes just seconds, making your data extraction setup significantly faster and more intuitive.

NOTE: If you know you’d rather train the robot manually, you can do so by clicking the “Select Manually Instead” button on the bottom right. Then "Cancel Edits".

Or if you're fast enough while the robot is scanning your list (it seriously only takes a matter of seconds for this process to finish), you can also click this button in the right-hand sidebar:


Customizing your dataset

As part of detecting the dataset to extract, your robot will automatically name your data columns and the list itself. However, you can customize any column to meet your needs.

Renaming columns

Before saving the list

  1. Click on the column name

  2. Type your preferred name

  3. Press Enter to save the new name (important: clicking outside the box won't save changes)

After saving the list

  1. Use the right-hand sidebar

  2. Click on the column name

  3. Enter your new name

  4. Press Enter to save changes

Deleting columns

If you don't need certain data points, you can remove them from your dataset.

Before saving the list

  1. Click on the name of the column you want to delete

  2. Select Remove column

After saving the list

  1. Use the right-hand sidebar

  2. Click the trash icon next to the column you want to remove

Renaming a list

  1. Click on the list name before saving

  2. Enter your preferred name

  3. Press Enter to save the changes

Deleting a list

  1. Go to the captured list

  2. Select the trash icon

  3. Select Yes, Delete it

QUICK TIP: You first have to save the captured list in order to then be able to delete it. Otherwise, you would click on Select Manually Instead, rather than Save Captured List.

Current limitations

  • Manual enrichment: it's not possible to keep the suggested data items and add extra fields. Choosing manual selection means identifying all fields yourself.

  • List renaming restrictions: list renaming must be done before clicking Save Captured List.

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