autointent.schemas.Sample

class autointent.schemas.Sample(/, **data)

Bases: pydantic.BaseModel

Represents a sample with an utterance and an optional label.

Parameters:

• utterance – The textual content of the sample.

• label – The label(s) associated with the sample. Can be a single label (integer) or a list of labels (integers). Defaults to None for unlabeled samples.

• data (Any)

utterance: str

label: autointent.custom_types.LabelType | None = None

validate_sample()

Validate the sample after model instantiation.

This method ensures that the label field adheres to the expected constraints: - If label is provided, it must be a non-negative integer or a list of non-negative integers. - Multilabel samples must have at least one valid label.

Raises:

ValueError – If the label field is empty for a multilabel sample or contains invalid (negative) values.

Returns:

The validated sample instance.

Return type:

Sample