> ## 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.

# Checking Dataset Access

> How to discover which datasets you have access to and view their schemas and descriptions.

# Checking dataset access

CloudQuant Data Liberator provides built-in commands to check your dataset permissions, view available datasets, and access detailed schema information.

## Commands

### Browse the catalog

```python theme={null}
liberator.datasets()
```

Returns datasets visible in the catalog for your account — public datasets and those you are entitled to. Private datasets you are not entitled to are hidden. See [Dataset visibility](/administration/dataset-visibility).

### View entitled datasets only

```python theme={null}
liberator.datasets(entitled=True)
```

Returns datasets you are individually entitled to (in addition to public datasets, depending on client defaults).

### Get dataset details

```python theme={null}
liberator.datasets(details=True)('daily_bars')
```

Retrieves a detailed description of a specific dataset. Replace `'daily_bars'` with your target dataset name.

### View dataset schema

```python theme={null}
liberator.datasets(schema=True)('daily_bars')
```

Returns the complete data dictionary and schema for a specific dataset. Replace `'daily_bars'` as needed.

<Tip>
  Use these commands to explore available data before writing queries. The schema information is especially useful for identifying column names to use with the [fields parameter](/python-guide/column-selection).
</Tip>