| | |
| | |
| | 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 |
| |
|
