feat(loader): added script for loading dataset, added setup.py

baneks_speech.py

@@ -0,0 +1,91 @@
+import os
+from glob import glob
+from pathlib import Path
+
+import datasets
+from datasets import Features, Value, Audio
+
+from music_tag import load_file
+
+
+_DESCRIPTION = """
+This dataset contains speech generated for anecdotes from the [baneks dataset](https://huggingface.co/datasets/zeio/baneks)
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/zeio/baneks-speech"
+
+_LICENSE = "Apache License Version 2.0"
+
+_URL = "https://huggingface.co/datasets/zeio/baneks-speech/resolve/main/speech/{first:06d}-{last:06d}.tar.xz"
+
+
+_N_TOTAL = 46_554
+_N_BATCH = 1_000
+
+
+class BaneksSpeech(datasets.GeneratorBasedBuilder):
+    """Speech generated for anecdotes from the baneks dataset"""
+
+    VERSION = datasets.Version("10.10.2023")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description = _DESCRIPTION,
+            features = Features(
+                {
+                    "text": Value("string"),
+                    "audio": Audio(sampling_rate = 22_050),
+                    "artist": Value("string"),
+                    "id": Value("int32"),
+                    "source": Value("string")
+                }
+            ),
+            homepage = _HOMEPAGE,
+            license = _LICENSE
+        )
+
+    def _split_generators(self, dl_manager):
+        offset = 0
+
+        paths = []
+
+        while offset < _N_TOTAL:
+            url = _URL.format(first = offset + 1, last = min(offset := offset + _N_BATCH, _N_TOTAL))
+
+            paths.append(dl_manager.download_and_extract(url))
+
+            break
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "paths": paths
+                }
+            )
+        ]
+
+    def _generate_examples(self, paths: list[str]):
+        for path in paths:
+            for file in sorted(glob(os.path.join(path, "*"))):
+                components = Path(file).stem.split('.', maxsplit = 1)
+
+                assert len(components) == 2, f'Incorrect file name: {file}'
+
+                id_ = int(components[0])
+                source = components[1]
+
+                meta = load_file(file)
+
+                # artist = meta['artist']
+                # text = meta['lyrics']
+
+                # print(id_, source, artist, text)
+
+                yield f'{id_:08d}-{source}', {
+                    'text': meta['lyrics'],
+                    'audio': file,
+                    'artist': meta['artist'],
+                    'id': id_,
+                    'source': source
+                }

setup.py

@@ -0,0 +1,9 @@
+from setuptools import setup
+
+setup(
+    name = "baneks-speech",
+    version = "10.10.2023",
+    install_requires = [
+        "music-tag==0.4.3"
+    ]
+)