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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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|
- name: age |
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dtype: string |
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|
- name: gender |
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dtype: string |
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|
- name: client_id |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 342225811.1 |
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num_examples: 9300 |
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|
- name: test |
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|
num_bytes: 207494311.74 |
|
|
num_examples: 5818 |
|
|
- name: eval |
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|
num_bytes: 199669352.112 |
|
|
num_examples: 5856 |
|
|
- name: generated |
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|
num_bytes: 20007480833 |
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|
num_examples: 100000 |
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|
download_size: 19300182564 |
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dataset_size: 20756870307.952 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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- split: eval |
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path: data/eval-* |
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- split: generated |
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path: data/generated-* |
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license: cc0-1.0 |
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language: |
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- hy |
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pretty_name: Hy-Generated |
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--- |
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# Hy-Generated Audio Data with CV20.0 |
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This dataset provides Armenian speech data consisting of both real and generated audio clips. |
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- The `train`, `test`, and `eval` splits are derived from the [Common Voice 20.0](https://commonvoice.mozilla.org/en/datasets) Armenian dataset. |
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- The `generated` split contains 100,000 high-quality clips synthesized using a fine-tuned [F5-TTS](https://github.com/f5-lab/tts) model, covering 404 equal distribution of synthetic voices. |
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--- |
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## 📊 Dataset Statistics |
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| Split | # Clips | Duration (hours) | |
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|
|-------------|-----------|------------------| |
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| `train` | 9,300 | 13.53 | |
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| `test` | 5,818 | 9.16 | |
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| `eval` | 5,856 | 8.76 | |
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| `generated` | 100,000 | 113.61 | |
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**Total duration:** ~**145 hours** |
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## 🛠️ Loading the Dataset |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ErikMkrtchyan/Hy-Generated-audio-data-with-cv20.0") |
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``` |
