Create bark_detection.py

bark_detection.py

@@ -0,0 +1,63 @@
+"""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"
+                },
+            ),
+        ]