bark-detection / bark_detection.py
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"""A bark detection dataset"""
import csv
import datasets
_CITATION = """\
@InProceedings{huggingface:dataset,
title = {A bark detection dataset with positive and negative samples of 1 second},
author={Rodrigo Marcos García},
year={2024}
}
"""
_DESCRIPTION = """\
This is a bark detection dataset with positive and negative samples of 1 second
"""
_HOMEPAGE = "https://huggingface.co/datasets/rmarcosg/bark-detection"
_LICENSE = "Apache 2.0"
class BarkDetection(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("0.0.1")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": "train",
"split": "train",
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": "validation",
"split": "validation",
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": "test",
"split": "test"
},
),
]