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--- |
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license: mit |
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task_categories: |
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- text-to-speech |
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language: |
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- ru |
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tags: |
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- audio |
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- russian |
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- speech |
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size_categories: |
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- 100K<n<1M |
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dataset_info: |
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config_name: default |
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features: |
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- name: text |
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dtype: string |
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- name: speaker_name |
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dtype: string |
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- name: audio |
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audio: {} |
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splits: |
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- name: train_0 |
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num_examples: 20000 |
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- name: train_1 |
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num_examples: 20000 |
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- name: train_2 |
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num_examples: 20000 |
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- name: train_3 |
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num_examples: 20000 |
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- name: train_4 |
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num_examples: 20000 |
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- name: train_5 |
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num_examples: 20000 |
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- name: train_6 |
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num_examples: 20000 |
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- name: train_7 |
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num_examples: 20000 |
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- name: train_8 |
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num_examples: 20000 |
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- name: train_9 |
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num_examples: 20000 |
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- name: train_10 |
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num_examples: 20000 |
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- name: train_11 |
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num_examples: 20000 |
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- name: train_12 |
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num_examples: 20000 |
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- name: train_13 |
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num_examples: 20000 |
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- name: train_14 |
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num_examples: 20000 |
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- name: train_15 |
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num_examples: 20000 |
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- name: train_16 |
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num_examples: 20000 |
|
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- name: train_17 |
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num_examples: 20000 |
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- name: train_18 |
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num_examples: 20000 |
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- name: train_19 |
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num_examples: 20000 |
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- name: train_20 |
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num_examples: 20000 |
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- name: train_21 |
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num_examples: 20000 |
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- name: train_22 |
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num_examples: 20000 |
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- name: train_23 |
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num_examples: 20000 |
|
|
- name: train_24 |
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num_examples: 20000 |
|
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- name: train_25 |
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num_examples: 20000 |
|
|
- name: train_26 |
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num_examples: 20000 |
|
|
- name: train_27 |
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num_examples: 20000 |
|
|
- name: train_28 |
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num_examples: 20000 |
|
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- name: train_29 |
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num_examples: 20000 |
|
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- name: train_30 |
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num_examples: 20000 |
|
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- name: train_31 |
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num_examples: 20000 |
|
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- name: train_32 |
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num_examples: 20000 |
|
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- name: train_33 |
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num_examples: 20000 |
|
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- name: train_34 |
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num_examples: 20000 |
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- name: train_35 |
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num_examples: 20000 |
|
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- name: train_36 |
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num_examples: 20000 |
|
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- name: train_37 |
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num_examples: 20000 |
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- name: train_38 |
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num_examples: 20000 |
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- name: train_39 |
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num_examples: 20000 |
|
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- name: train_40 |
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num_examples: 20000 |
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- name: train_41 |
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num_examples: 20000 |
|
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- name: train_42 |
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num_examples: 20000 |
|
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- name: train_43 |
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num_examples: 20000 |
|
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- name: train_44 |
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num_examples: 20000 |
|
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- name: train_45 |
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num_examples: 20000 |
|
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- name: train_46 |
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num_examples: 20000 |
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- name: train_47 |
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num_examples: 20000 |
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- name: train_48 |
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num_examples: 20000 |
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- name: train_49 |
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num_examples: 15442 |
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--- |
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# Dataset Audio Russian Backup |
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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. |
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## Features |
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- **text**: Audio transcription (string). |
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- **speaker_name**: Speaker identifier (string). |
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- **audio**: Audio file. |
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## Usage |
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Load the dataset like this: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("kijjjj/audio_data_russian_backup", split="train_0") # Or any train_X split |
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print(dataset[0]) |
