snorkelflow.ingest.import_utterance_ground_truth

snorkelflow.ingest.import_utterance_ground_truth(node, filepath, label_col, conversation_id_col='context_uid', utterance_id_col='utterance_idx', metadata=None, user_format=False)

Uploads ground truth for utterance classification applications. Requires input in the form of [conversation_id, utterance_id, label] triplets.

Parameters

Parameters

Name	Type	Default	Info
node	int		Node uid for the model node to which GTs are to be uploaded.
filepath	str		Path to the CSV file which contains GTs. Local path and MinIO path are supported.
label_col	str		Name of the column which contains labels. If labels are strings, user_format must be True.
conversation_id_col	str	'context_uid'	Name of the column containing conversation_ids. Defaults to ‘context_uid’ if using Snorkelflow generated UIDs.
utterance_id_col	str	'utterance_idx'	Name of the column containing utterance_ids. Defaults to ‘utterance_idx’.
metadata	Optional[Dict[str, Any]]	None	Metadata to register as the provenance of ground truth.
user_format	bool	False	True if the ground truth labels are strings, False otherwise.

Return type

Return type

None