Datasets:
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The default config contains 50 while it should generally contain 3 splits maximum (train/validation/test). If the splits train_0, train_1, train_10, train_11, train_12... are not used to differentiate between training and evaluation, please consider defining configs of this dataset instead. You can find how to define configs instead of splits here: https://huggingface.co/docs/hub/datasets-data-files-configuration
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Dataset Audio Russian Backup
This is a backup dataset with Russian audio data, split into train_0 to train_49 for tasks like text-to-speech, speech recognition, and speaker identification.
Features
- text: Audio transcription (string).
- speaker_name: Speaker identifier (string).
- audio: Audio file.
Usage
Load the dataset like this:
from datasets import load_dataset
dataset = load_dataset("kijjjj/audio_data_russian_backup", split="train_0") # Or any train_X split
print(dataset[0])
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