Manage your project's data rows

The Data rows tab in your project dashboard is your central hub for viewing, filtering, and managing all the data rows within a specific project. Whether a data row is labeled, waiting in the queue, or undergoing review, you can find it here.

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Filtering your data rows

Each data row displays key information, including how much time has been spent on labeling and review, which dataset it belongs to, and whether there are any open issues. There are several ways you can filter your data.

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Use search filters

To find specific data rows, you can use a powerful and flexible filtering system. Click on Search your data to get started. You can combine multiple filters using AND/OR conditions to create highly specific queries. For example, you could search for all data rows in a specific batch AND that have been reworked by a particular labeler. This allows you to precisely target the data you need. Here are the available filters:

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Filter data rows by status

The status of a data row tells you where it is in the labeling and review process. The following statuses are available by default for every project. You can see a count of data rows for each status on the left panel. Clicking on a status will filter the table to show only the data rows with that status.

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Updating your data rows

You have several options to update your data rows in bulk or at the individual level

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Task browser: Update individual data rows

To view or edit the labels on a single data row, click on the data row in the table. This will open the Task browser. From here, you can:

• Edit the label: Click the Edit button to create or edit annotations. Press Save to save your changes.
• View all labels (for consensus or benchmark): If you are using consensus or benchmarks, you can view all the different labels created for that data row. Use the > icon in the left-side panel to see all labels, view their IDs, and select a “winner” label.

Click on the options menu next to a data row to access more actions you can take at the data row level. From this menu, you can:

• Copy link: Copy the link to the data row. You can send the link to the data row to other members in your organization.
• Delete labels & requeue: Remove all existing labels from a selected group of data rows and then send those data rows back to the beginning of the labeling queue to be worked on again.
• Move to step: Choose to move the selected data row to Initial review task, Rework, or Done.
• Add as benchmark: Select this label as a winning benchmark label.

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Bulk update multiple data rows

If you need to update the configurations for many data rows at one time, you can use the Bulk actions feature. Select multiple data rows to perform the following actions in bulk:

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Updating your batches

From the Data Rows tab, you can also update the batches of data rows in your project.

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View and update batches

Click on Batches → View batches to view and update all the existing batches in your project. From here, you can:

• Rename the batch.
• Copy batch ID.
• Change priority: When you initially create the batch, you have the option to select the data row priority (value between 1 - 5). Leaving it as-is will default to batch value to 5. From the View batches panel you can update the priority for the batch.
• Remove queued data rows: This will remove any data rows from the batch that have not yet been labeled.
• Delete labels: This will delete the labels from the data rows in the batch and give you the option to requeue them, either with or without the old label as a template.
• View history: See a log of when data rows were added or removed from the batch.

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Add more data to batch

Click on Batches → Add data from Catalog to select more data rows to add to the batch.