init test

.gitignore

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+/missions_txt/
+*.ipynb
+/tmp_data/

data/20240730-Aldrine.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:772bc03715af96989f5144f1acafa5003ffc11dd12dc7689e78c1b282c17a59c
+size 1361870848

release_stats.py

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+STATS = {
+    "name": "Startimes-Luganda_Recording",
+    "version": "1.0.0",
+    "date": "2024-09-01",
+    "locales": {
+        "_all_": {'reportedSentences': 7815, 'duration': 1, 'clips': 1, 'users': 416, 'size': 1,
+                'avgDurationSecs': 1, 'totalHrs': 1},
+    },
+    'totalDuration': 1, 'totalHrs': 1
+}
+

startimes_luganda_recording.py

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+import datasets
+from .release_stats import STATS
+
+# _DATASET_DICT = {'Aldrine': ['20240730', '20240801', '20240805'], 'Nabbuto': ['20240730', '20240801'], 'Nakawunde': ['20240730'], 'Namala': ['20240730', '20240807'], 'Solomon': ['20240805'], 'William': ['20240730']}
+_DATASET_DICT = {'Aldrine': ['20240730']}
+
+_HOMEPAGE = "https://huggingface.co/Loyage/startimes_luganda_recording"
+
+_DATA_URL = "https://huggingface.co/datasets/Loyage/startimes_luganda_recording/resolve/main/data"
+
+class StartimesLugandaRecordingConfig():
+    """BuilderConfig for StartimesLugandaRecording."""
+
+    def __init__(self, name, version, **kwargs):
+        self.language = "Luganda"
+        
+        description = (
+            f"Luganda Speaking Voice Datasets recorded by Startimes. "
+            f"All rights reserved by Startimes. "
+        )
+
+        super(StartimesLugandaRecordingConfig, self).__init__(
+            name=name,
+            version=datasets.Version(version),
+            description=description,
+            **kwargs,
+        )
+
+
+class StartimesLugandaRecording(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        StartimesLugandaRecordingConfig(
+            name="Luganda",
+            version="1.0.0",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Luganda Speaking Voice Datasets recorded by Startimes. All rights reserved by Startimes.",
+            features=datasets.Features(
+                {
+                    "path": datasets.Value("string"),
+                    "sentence": datasets.Value("string"),
+                    "speaker": datasets.Value("string"),
+                }
+            )
+
+    def _split_generators(self, dl_manager):
+        dl_manager.download_config.ignore_url_params = True
+        # audio_path = {}
+        local_extracted_archive = {}
+        metadata_path = dl_manager.download(f"{_DATA_URL}/metadata.tsv")
+
+        for speaker, dates in _DATASET_DICT.items():
+            speaker_audios = []
+            for date in dates:
+                speaker_audios.append(dl_manager.download_and_extract(f"{_DATA_URL}/{date}-{speaker}.tar"))
+            local_extracted_archive[speaker] = speaker_audios
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "metadata_path": metadata_path,
+                    "local_extracted_archive": local_extracted_archive,
+                },
+            )
+        ]
+
+    def _generate_examples(
+        self,
+        local_extracted_archive,
+        audio_files,
+        metadata_path,
+        path_to_clips,
+    ):
+        yield {
+            "path": path_to_clips,
+            "sentence": "Hello, how are you?",
+            "speaker": "Aldrine",
+        }
+    
+