| |
| |
| from glob import glob |
| import json |
| import os |
| from pathlib import Path |
|
|
| import datasets |
|
|
|
|
| _DATA_URL_MAP = { |
| "kitchen_16k": "https://zenodo.org/records/1227121/files/DKITCHEN_16k.zip?download=1", |
| "kitchen_48k": "https://zenodo.org/records/1227121/files/DKITCHEN_48k.zip?download=1", |
| "living_16k": "https://zenodo.org/records/1227121/files/DLIVING_16k.zip?download=1", |
| "living_48k": "https://zenodo.org/records/1227121/files/DLIVING_48k.zip?download=1", |
| "washing_16k": "https://zenodo.org/records/1227121/files/DWASHING_16k.zip?download=1", |
| "washing_48k": "https://zenodo.org/records/1227121/files/DWASHING_48k.zip?download=1", |
| "field_16k": "https://zenodo.org/records/1227121/files/NFIELD_16k.zip?download=1", |
| "field_48k": "https://zenodo.org/records/1227121/files/NFIELD_48k.zip?download=1", |
| "park_16k": "https://zenodo.org/records/1227121/files/NPARK_16k.zip?download=1", |
| "park_48k": "https://zenodo.org/records/1227121/files/NPARK_48k.zip?download=1", |
| "river_16k": "https://zenodo.org/records/1227121/files/NRIVER_16k.zip?download=1", |
| "river_48k": "https://zenodo.org/records/1227121/files/NRIVER_48k.zip?download=1", |
| "hallway_16k": "https://zenodo.org/records/1227121/files/OHALLWAY_16k.zip?download=1", |
| "hallway_48k": "https://zenodo.org/records/1227121/files/OHALLWAY_48k.zip?download=1", |
| "meeting_16k": "https://zenodo.org/records/1227121/files/OMEETING_16k.zip?download=1", |
| "meeting_48k": "https://zenodo.org/records/1227121/files/OMEETING_48k.zip?download=1", |
| "office_16k": "https://zenodo.org/records/1227121/files/OOFFICE_16k.zip?download=1", |
| "office_48k": "https://zenodo.org/records/1227121/files/OOFFICE_48k.zip?download=1", |
| "cafeter_16k": "https://zenodo.org/records/1227121/files/PCAFETER_16k.zip?download=1", |
| "cafeter_48k": "https://zenodo.org/records/1227121/files/PCAFETER_48k.zip?download=1", |
| "resto_16k": "https://zenodo.org/records/1227121/files/PRESTO_16k.zip?download=1", |
| "resto_48k": "https://zenodo.org/records/1227121/files/PRESTO_48k.zip?download=1", |
| "station_16k": "https://zenodo.org/records/1227121/files/PSTATION_16k.zip?download=1", |
| "station_48k": "https://zenodo.org/records/1227121/files/PSTATION_48k.zip?download=1", |
|
|
| "cafe_48k": "https://zenodo.org/records/1227121/files/SCAFE_48k.zip?download=1", |
|
|
| "square_16k": "https://zenodo.org/records/1227121/files/SPSQUARE_16k.zip?download=1", |
| "square_48k": "https://zenodo.org/records/1227121/files/SPSQUARE_48k.zip?download=1", |
| "traffic_16k": "https://zenodo.org/records/1227121/files/STRAFFIC_16k.zip?download=1", |
| "traffic_48k": "https://zenodo.org/records/1227121/files/STRAFFIC_48k.zip?download=1", |
| "bus_16k": "https://zenodo.org/records/1227121/files/TBUS_16k.zip?download=1", |
| "bus_48k": "https://zenodo.org/records/1227121/files/TBUS_48k.zip?download=1", |
| "car_16k": "https://zenodo.org/records/1227121/files/TCAR_16k.zip?download=1", |
| "car_48k": "https://zenodo.org/records/1227121/files/TCAR_48k.zip?download=1", |
| "metro_16k": "https://zenodo.org/records/1227121/files/TMETRO_16k.zip?download=1", |
| "metro_48k": "https://zenodo.org/records/1227121/files/TMETRO_48k.zip?download=1", |
|
|
| } |
|
|
| _CITATION = """\ |
| @dataset{DEMAND, |
| author = {Xing Tian}, |
| title = {DEMAND}, |
| month = jan, |
| year = 2025, |
| publisher = {Xing Tian}, |
| version = {1.0}, |
| } |
| """ |
|
|
|
|
| _DESCRIPTION = """DEMAND: Diverse Environments Multichannel Acoustic Noise Database""" |
|
|
|
|
| _VERSION = datasets.Version("1.0.0") |
|
|
|
|
| _BUILDER_CONFIGS = [ |
| datasets.BuilderConfig(name=key, version=_VERSION, description=key) |
| for key in _DATA_URL_MAP.keys() |
| ] |
|
|
|
|
| class Demand(datasets.GeneratorBasedBuilder): |
| VERSION = _VERSION |
|
|
| BUILDER_CONFIGS = _BUILDER_CONFIGS |
|
|
| def _info(self): |
| features = datasets.Features( |
| { |
| "category": datasets.Value("string"), |
| "audio": datasets.Audio(), |
| } |
| ) |
|
|
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| supervised_keys=None, |
| homepage="", |
| license="", |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| """Returns SplitGenerators.""" |
| data_url = _DATA_URL_MAP.get(self.config.name) |
| if data_url is None: |
| raise AssertionError(f"subset {self.config.name} is not available.") |
|
|
| archive_path = dl_manager.download_and_extract(data_url) |
|
|
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={"archive_path": archive_path, "dl_manager": dl_manager}, |
| ), |
| ] |
|
|
| def _generate_examples(self, archive_path, dl_manager): |
| """Yields examples.""" |
| archive_path = Path(archive_path) |
|
|
| sample_idx = 0 |
| for filename in archive_path.glob("**/*.wav"): |
| print(filename) |
| yield sample_idx, { |
| "category": filename.parts[-2], |
| "audio": filename.as_posix(), |
| } |
| sample_idx += 1 |
|
|
|
|
| if __name__ == '__main__': |
| pass |
|
|
