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Documentation Index

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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.

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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.

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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.

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Returns

Complete dataset instance with all details and capabilities. Return type: Dataset

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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}")