Datasets:

Code-Quasar
/

Tn-TTS

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
      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

python data.py pull  # materializes wavs + manifests

Derived from corpora with their own licence terms; the voices belong to real speakers. Check before redistributing.