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

# DatasetCompact

> Lightweight dataset representation for listing and basic operations.

Lightweight dataset representation for listing and basic operations.

A minimal dataset object containing only essential identifiers. Used by
various operations to efficiently reference datasets without fetching
full dataset details and metadata.

This class provides a memory-efficient way to work with dataset references
when you don't need the full dataset functionality but want to access
basic information or fetch the complete dataset when needed.

## Example

```python theme={null}
# From dataset references in other entities
baseline = Baseline.get(id_="baseline-uuid")
dataset_ref = baseline.dataset  # Returns DatasetCompact

# Access basic info
print(f"Dataset: {dataset_ref.name}")
print(f"ID: {dataset_ref.id}")

# Fetch full details when needed
full_dataset = dataset_ref.fetch()
print(f"Rows: {full_dataset.row_count}")
print(f"Model: {full_dataset.model_id}")
```

<Info>
  DatasetCompact objects are typically returned by other entities that
  reference datasets. Use .fetch() to get the complete Dataset instance
  when you need full functionality like row counts or model information.
</Info>

## id

## name

## fetch()

Fetch the complete Dataset instance.

Retrieves the full Dataset object with all metadata, row counts, and
model associations from the Fiddler platform using this compact dataset's ID.

### Returns

<ResponseField type="Dataset">
  Complete dataset instance with all details and capabilities.
</ResponseField>

### Example

```python theme={null}
# From dataset reference
compact = baseline.dataset

# Get full dataset details
full_dataset = compact.fetch()

# Now can access full functionality
print(f"Dataset has {full_dataset.row_count} rows")
print(f"Belongs to model: {full_dataset.model_id}")
```