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import os
import datasets
import soundfile as sf
_CITATION = ""
_DESCRIPTION = "Audio classification dataset with labels from folder names"
_HOMEPAGE = ""
_LICENSE = ""
class AudioDatasetConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super(AudioDatasetConfig, self).__init__(**kwargs)
class AudioDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [AudioDatasetConfig(name="default", version=datasets.Version("1.0.0"))]
def _info(self):
labels = sorted(os.listdir(os.path.join(self.config.data_dir, "Final data")))
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"audio": datasets.Audio(sampling_rate=16000),
"label": datasets.ClassLabel(names=labels)
}),
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
data_dir = self.config.data_dir
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"data_dir": data_dir}
)
]
def _generate_examples(self, data_dir):
audio_path = os.path.join(data_dir, "Final data")
label_list = sorted(os.listdir(audio_path))
id_ = 0
for label in label_list:
label_dir = os.path.join(audio_path, label)
if not os.path.isdir(label_dir):
continue
for fname in os.listdir(label_dir):
if fname.endswith(".wav"):
path = os.path.join(label_dir, fname)
yield id_, {
"audio": path,
"label": label
}
id_ += 1
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