> ## Documentation Index
> Fetch the complete documentation index at: https://knowledge.cloudquant.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Column Description Suggestions

> Reuse column descriptions from existing datasets when onboarding or editing dataset metadata

# Column description suggestions

When you onboard a dataset or edit column metadata, Liberator can **suggest descriptions** already in use on similar columns in your environment, ranked by how often each description appears. Accept a suggestion as-is, edit it, or write your own.

This keeps documentation consistent across related datasets and speeds up onboarding for common fields (timestamps, tickers, prices, identifiers).

<Note>
  Admin privileges or higher are required. Suggestions improve as more datasets with descriptions exist in your environment.
</Note>

## Use suggested descriptions

<Steps>
  <Step title="Open the wizard">
    Go to **Datasets → Add Dataset** or **Edit** on an existing dataset.
  </Step>

  <Step title="Columns step">
    Proceed to the **Columns** step.
  </Step>

  <Step title="Review suggestions">
    For each column, Liberator shows likely description matches ordered by frequency of use.
  </Step>

  <Step title="Accept, edit, or override">
    Click a suggestion to apply it, edit the text in place, or type a new description manually.
  </Step>

  <Step title="Save">
    Complete the wizard and save. New and edited descriptions feed future suggestions.
  </Step>
</Steps>

## Tips

* Use **consistent terminology** (for example, always "Trade execution timestamp (UTC)") so rankings stay useful.
* **Edit** close matches instead of creating near-duplicates that compete in frequency ranking.
* Treat low-frequency suggestions cautiously — they may not generalize.

## FAQ

**No suggestion for a column?**\
The field is blank until you enter one manually. It will be available for future datasets with similarly named columns.

**Can I ignore suggestions?**\
Yes. Suggestions are advisory only.

**Do suggestions cross public and private datasets?**\
Yes. Descriptions are metadata drawn from all datasets in your environment, not from underlying row data.