> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/textual/datasets-create-manage/viewing-and-downloading-the-dataset-audit-log.md).

# Viewing and downloading the dataset audit log

{% hint style="info" %}
**Required dataset permission:** View audit log
{% endhint %}

The audit log provides a history of actions associated with a dataset.

## Displaying the audit log <a href="#audit-log-display" id="audit-log-display"></a>

To display the audit log for a dataset, on the dataset details page, click **Audit log**.

Each entry in the audit log includes:

* The timestamp when the event occurred.
* The user who performed the action.
* The type of action.
* Additional details for the action.

<figure><img src="/files/rqsCaF6Zxdem7Suv117R" alt=""><figcaption><p>Audit log for a dataset</p></figcaption></figure>

## Types of events that the audit log tracks <a href="#audit-log-event-types" id="audit-log-event-types"></a>

The audit log includes the following types of actions:

* Dataset created
* Dataset deleted
* Dataset settings changed
* Dataset settings imported
* Dataset tags updated
* Dataset entity type configuration changed
* PDF files edited manually
* File uploaded
* File downloaded
* File deleted

## Downloading the audit log <a href="#audit-log-download" id="audit-log-download"></a>

To download the audit log to a .csv file, on the **Audit log** page, click **Download CSV**.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.tonic.ai/textual/datasets-create-manage/viewing-and-downloading-the-dataset-audit-log.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
