demand / demand.py
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#!/usr/bin/python3
# -*- coding: utf-8 -*-
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