Datasets:

ALEKAS
/

ToneBooksPlus-Grigorii

language:
  - ru
license: apache-2.0
task_categories:
  - text-to-speech
  - automatic-speech-recognition
tags:
  - audio
  - speech
  - russian
  - tts
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 7479621859.359
      num_examples: 15813
  download_size: 7197154270
  dataset_size: 7479621859.359

ToneBooksPlus-Grigorii

Filtered subset of ToneBooksPlus containing only samples from speaker Grigorii Metelitsa.

Dataset Details

Speaker: Grigorii Metelitsa (professional Russian voice actor)
Total Samples: 15,813
Total Duration: ~29 hours
Sample Rate: 16,000 Hz
Format: WAV (mono, 16-bit PCM)
Language: Russian

Source

This dataset is a filtered subset of the original ToneBooksPlus dataset:

Original Dataset: Vikhrmodels/ToneBooksPlus
Filtering Criteria: Only samples from speaker "grigorii_metelitsa"
License: Apache 2.0 (inherited from ToneBooksPlus)

Dataset Structure

Each sample contains:

audio: Audio file (WAV, 16kHz, mono)
text: Transcribed Russian text

Example

from datasets import load_dataset

dataset = load_dataset("ALEKAS/ToneBooksPlus-Grigorii")

# Access first sample
sample = dataset['train'][0]
print(sample['text'])
# Audio is automatically loaded as array
audio_array = sample['audio']['array']
sample_rate = sample['audio']['sampling_rate']

Use Cases

Russian TTS model training
Voice cloning (Grigorii's voice)
Russian ASR model fine-tuning
Speech synthesis research

Citation

If you use this dataset, please cite the original ToneBooksPlus:

@misc{tonebooksplus,
  title={ToneBooksPlus: Russian Audiobook Dataset},
  author={Vikhrmodels},
  year={2024},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/Vikhrmodels/ToneBooksPlus}}
}

License

Apache 2.0 (same as original ToneBooksPlus dataset)

Acknowledgements

Original dataset creators: Vikhrmodels
Voice actor: Grigorii Metelitsa
Dataset curation: ALEKAS