Datasets:
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---
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]) |