> For the complete documentation index, see [llms.txt](https://docs.collibra.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.collibra.com/data-quality-self-hosted/core-concepts/findings/data-quality-monitors/dupes.md). # Dupes The Dupes monitor detects column values that match other existing column values. The following table shows the available columns in the Dupes tab.

Column	Description
Type	The type of finding, for example, DUPE.
Score	The percentage that two or more duplicate values match. A score of 100 indicates that the duplicate values are exact matches of each other, whereas a score of 85 indicates that the duplicate values are fuzzy matches.
[Column]	The column where the duplicate value appears. Case insensitive exact match duplicates for Pullup datasets display in all lower case. While the casing of exact match duplicates may vary, this is the expected behavior. The name of this column is dynamic depending on how it appears in your table, file, or view. For example, when the name of the column in your data source that contains the duplicate values is called last name, then the column in the Findings table will be last name.
Occurs	The number of duplicate values in a column.
Profile	The user account that is assigned to this dupes finding. When the Status is Assigned, a user profile displays in this column. When a dupes finding is unassigned, the profile column is empty.
Status	Lets you label and train a finding. The available dropdown menu options are Validate, Invalidate, and Resolve. Validate instructs Collibra DQ to either assign a finding to a specific user for review, which then appears in the View the Assignment Queue or acknowledge without an assignee that the finding is a valid observation. Invalidate instructs Collibra DQ to ignore a finding and allow the value to pass. There are two invalidation options: Save lets you mark a finding as invalidated. Save & Retrain lets you invalidate a finding and any previously saved invalidated findings, if any. When you have many findings to invalidate, it may be best to use the Save option to invalidate them at the same time, once all findings are reviewed. Resolve Instructs Collibra DQ to mark the finding as an observation and prevents it from appearing in future runs. Resolving a finding does not immediately affect data quality scores.
Action	In Pushdown mode, you can download a CSV or JSON file containing details of the break records. This column does not display for DQ Jobs created in Pullup mode.

### Exporting dupes records Click **Export** above the drill-in table to generate an Excel file with the details from the drill-in. ## Retrain Updates the DQ models used for automated data-quality checks. The Retrain process consumes current training data (and optionally labels/config), builds a new model or rule-set, validates it, and publishes a new version that will be used to score incoming data and compute DQ metrics. Use **Retrain** when data distributions change, new labels/ground truth are available, business rules change, or on a scheduled cadence to prevent model drift.