---
dataset_info:
  features:
  - name: conversation_id
    dtype: string
  - name: turn_index
    dtype: int32
  - name: text
    dtype: string
  - name: audio
    dtype: audio
  - name: speaker_id
    dtype: string
  - name: duration
    dtype: float32
  - name: start_time
    dtype: float32
  - name: end_time
    dtype: float32
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*.parquet
---

# Conversational TTS Dataset

Turn-level conversational speech data collected from YouTube.

- **Sampling rate:** 24kHz mono
- **Format:** Each row is one turn in a conversation
- **Grouped by:** `conversation_id` + `turn_index` for reconstructing conversations

## Usage

```python
from datasets import load_dataset
ds = load_dataset("somu9/conversational-tts")
```