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