# Navigating the file list

To display the list of files for the dataset, on the dataset details page, click **Project files**.

<figure><img src="/files/I0iE3xXDXJszfOlT18JN" alt=""><figcaption><p>File list for an uploaded file dataset</p></figcaption></figure>

For cloud storage dataset, the file list displays the full path to each file.

<figure><img src="/files/k4aHWzvxpmn6SuOdiqte" alt=""><figcaption><p>File list for a cloud storage dataset</p></figcaption></figure>

## Information in the file list

For each file, the file list includes the following information:

* The name of the file. For cloud storage datasets, the file name includes the full path to the file.\
  \
  When the file needs to be rescanned, a warning icon displays in front of the name.

<figure><img src="/files/POwHqzaYPM07Vqo3zcc6" alt="" width="375"><figcaption><p>Warning icon for a file that needs to be rescanned</p></figcaption></figure>

* The number of detected entity values in the file. Note that Textual does not display an entity value count for CSV files.
* The total number of words in the file. Note that Textual does not display the word count for CSV files.
* When the file was added to the dataset.
* When the file was most recently scanned.
* For PDF and image files on self-hosted instances, the OCR model used to process the file.

## Filtering the file list

To filter the list based on the file name, in the search field, begin to type text from the file name.

As you type, Textual updates the file list to only include matching files.

## Sorting the file list

You can also sort the list by any of the columns.

* To sort by a column, click the column heading.
* To reverse the sort order, click the column heading again.


---

# Agent Instructions: 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/dataset-files/dataset-file-list.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.