# October 2023 release

## :broom: Expanded retention policy setting

In this release, we've expanded the retention policy setting to provide you with more control over your data. You now have the option to delete all the audit logs linked to impacted uploads.

<figure><img src="/files/F6N62xjnc0ST5yO7Ixj3" alt=""><figcaption></figcaption></figure>

{% content-ref url="/pages/d4iR0N426gZTZW3XMcvU" %}
[Data retention](/project/project-settings/data-retention.md)
{% endcontent-ref %}

## :loudspeaker: Announcement: Data retention changes

Over the last months, we've observed that many documents, some dating back over 2 years, haven't been used for model training. As a result, some training data sets have a couple of thousands of documents making it harder to manage your training set.

In one of the next releases, we're going to streamline our data retention policy to apply to the training data that are in "Input required" to improve your experience by keeping your data manageable, relevant, and up-to-date.&#x20;

<figure><img src="/files/3H5ZHjH1TuBprRZfYg1j" alt=""><figcaption></figcaption></figure>


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