flair.data.DataTriple#

class flair.data.DataTriple(first, second, third)View on GitHub #

Represents a triplet of DataPoints.

__init__(first, second, third)View on GitHub #

Initializes a DataTriple.

Parameters:

Methods

`__init__`(first, second, third)	Initializes a DataTriple.
`add_label`(typename, value[, score])	Adds a new label to a specific annotation layer.
`add_metadata`(key, value)	Adds a key-value pair to the data point's metadata.
`clear_embeddings`([embedding_names])	Removes stored embeddings to free memory.
`get_each_embedding`([embedding_names])	Retrieves a list of individual embedding tensors.
`get_embedding`([names])	Retrieves embeddings, concatenating if multiple names are given or if names is None.
`get_label`([label_type, zero_tag_value])	Retrieves the primary label for a given type, or a default 'O' label.
`get_labels`([typename])	Retrieves all labels for a specific annotation layer.
`get_metadata`(key)	Retrieves metadata associated with the given key.
`has_label`(typename)	Checks if the data point has at least one label for the given annotation type.
`has_metadata`(key)	Checks if the data point has metadata for the given key.
`remove_labels`(typename)	Removes all labels associated with a specific annotation layer.
`set_embedding`(name, vector)	Stores an embedding tensor under a given name.
`set_label`(typename, value[, score])	Sets the label(s) for an annotation layer, overwriting any existing ones.
`to`(device[, pin_memory])	Moves all stored embedding tensors to the specified device.

Attributes

`embedding`	Provides the primary embedding representation of the data point.
`end_position`	The ending character offset (exclusive) within the original text.
`labels`	Returns a list of all labels from all annotation layers.
`score`	Shortcut property for the score of the first label added.
`start_position`	The starting character offset within the original text.
`tag`	Shortcut property for the value of the first label added.
`text`	The textual representation of this data point.
`unlabeled_identifier`	A string identifier for the data point itself, without label info.

to(device, pin_memory=False)View on GitHub #

Moves all stored embedding tensors to the specified device.

Parameters:

device (Union[str, torch.device]) – Target device (e.g., ‘cpu’, ‘cuda:0’).
pin_memory (bool, optional) – If True and moving to CUDA, attempts to pin memory. Defaults to False.

clear_embeddings(embedding_names=None)View on GitHub #

Removes stored embeddings to free memory.

Parameters:: embedding_names (Optional[list[str]], optional) – Specific names to remove. If None, removes all embeddings. Defaults to None.

property embedding#: Provides the primary embedding representation of the data point.

property unlabeled_identifier#: A string identifier for the data point itself, without label info.

property start_position: int#: The starting character offset within the original text.

property end_position: int#: The ending character offset (exclusive) within the original text.