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dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: ref_index
dtype: int64
splits:
- name: train
num_bytes: 1000427885.04
num_examples: 4730
- name: validation
num_bytes: 21703376.0
num_examples: 179
download_size: 1012364638
dataset_size: 1022131261.04
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Code-Quasar/Tn-TTS
Tunisian Derja speech for VoxCPM2 fine-tuning.
- `audio` — 16000 Hz mono, decoded by the `datasets` Audio feature
- `text` — transcript, every row prefixed with `(Tunisian Dialect)`
- `ref_index` — row index of a reference clip for in-context cloning, or -1
## Use
```bash
python data.py pull # materializes wavs + manifests
```
Derived from corpora with their own licence terms; the voices belong to real speakers. Check before redistributing.
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