DatasetCompact

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

# 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}")

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.

Attributes

Unique identifier (UUID) of the dataset.

Name of the dataset within the model.

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

Complete dataset instance with all details and capabilities.

Example

# 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}")

Fiddler Python Client SDK

Fiddler Evals SDK

Fiddler OTel SDK

Fiddler LangGraph SDK

Fiddler LangChain SDK

Fiddler Google ADK SDK

Fiddler Strands Agent SDK

Fiddler OTel JS SDK

Fiddler LangGraph JS SDK

Fiddler LangChain JS SDK

Example

Attributes

fetch()

Returns

Example

​Example

​Attributes

​fetch()

​Returns

​Example

Example

Attributes

fetch()

Returns

Example