audiblelight.class_mappings.DCASE2025Task4

class audiblelight.class_mappings.DCASE2025Task4(mapping=None)

Bases: ClassMapping

Class mappings used for DCASE2025, task 4.

See https://dcase.community/challenge2025/task-spatial-semantic-segmentation-of-sound-scenes#audio-dataset

Parameters:

mapping (dict[str, int] | None)

__init__(mapping=None)

Parameters:

mapping (dict[str, int] | None)

Methods

__init__([mapping])
from_dict(input_dict)	Compute a class mapping from a dictionary
infer_label_idx_from_filepath(filepath)	Given a filepath, infer the class label and index from this.
infer_missing_values(class_id, class_label)	Infers missing class ID or label if only one is provided.
to_dict()	Returns the class mapping as a dictionary
validate_mapping()	Validates mapping after class initialization

Attributes

TASK
YEAR
mapping	"class_index"
mapping_inverted	"class_name

TASK = 4

YEAR = 2025

property mapping: dict[int, str]

“class_index”

Type:

Returns a mapping of “class_name”