---
license: mit
task_categories:
  - text-to-speech
language:
  - ru
tags:
  - audio
  - russian
  - speech
size_categories:
  - 100K<n<1M
dataset_info:
  config_name: default
  features:
    - name: text
      dtype: string
    - name: speaker_name
      dtype: string
    - name: audio
      audio: {}
  splits:
    - name: train_0
      num_examples: 20000
    - name: train_1
      num_examples: 20000
    - name: train_2
      num_examples: 20000
    - name: train_3
      num_examples: 20000
    - name: train_4
      num_examples: 20000
    - name: train_5
      num_examples: 20000
    - name: train_6
      num_examples: 20000
    - name: train_7
      num_examples: 20000
    - name: train_8
      num_examples: 20000
    - name: train_9
      num_examples: 20000
    - name: train_10
      num_examples: 20000
    - name: train_11
      num_examples: 20000
    - name: train_12
      num_examples: 20000
    - name: train_13
      num_examples: 20000
    - name: train_14
      num_examples: 20000
    - name: train_15
      num_examples: 20000
    - name: train_16
      num_examples: 20000
    - name: train_17
      num_examples: 20000
    - name: train_18
      num_examples: 20000
    - name: train_19
      num_examples: 20000
    - name: train_20
      num_examples: 20000
    - name: train_21
      num_examples: 20000
    - name: train_22
      num_examples: 20000
    - name: train_23
      num_examples: 20000
    - name: train_24
      num_examples: 20000
    - name: train_25
      num_examples: 20000
    - name: train_26
      num_examples: 20000
    - name: train_27
      num_examples: 20000
    - name: train_28
      num_examples: 20000
    - name: train_29
      num_examples: 20000
    - name: train_30
      num_examples: 20000
    - name: train_31
      num_examples: 20000
    - name: train_32
      num_examples: 20000
    - name: train_33
      num_examples: 20000
    - name: train_34
      num_examples: 20000
    - name: train_35
      num_examples: 20000
    - name: train_36
      num_examples: 20000
    - name: train_37
      num_examples: 20000
    - name: train_38
      num_examples: 20000
    - name: train_39
      num_examples: 20000
    - name: train_40
      num_examples: 20000
    - name: train_41
      num_examples: 20000
    - name: train_42
      num_examples: 20000
    - name: train_43
      num_examples: 20000
    - name: train_44
      num_examples: 20000
    - name: train_45
      num_examples: 20000
    - name: train_46
      num_examples: 20000
    - name: train_47
      num_examples: 20000
    - name: train_48
      num_examples: 20000
    - name: train_49
      num_examples: 15442
---

# 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:

```python
from datasets import load_dataset
dataset = load_dataset("kijjjj/audio_data_russian_backup", split="train_0")  # Or any train_X split
print(dataset[0])