---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  splits:
  - name: train
    num_bytes: 5933166725.824
    num_examples: 130634
  download_size: 5547933432
  dataset_size: 5933166725.824
tags:
- audio
- text-to-speech
- turkish
- synthetic-voice
language:
- tr
task_categories:
- text-to-speech
---

# Dataset Card for "turkishneuralvoice"

## Dataset Overview

**Dataset Name**: Turkish Neural Voice

**Description**: This dataset contains Turkish audio samples generated using Microsoft Text to Speech services. The dataset includes audio files and their corresponding transcriptions.

## Dataset Structure

**Configs**:
- `default`

**Data Files**:
- Split: `train`
  - Path: `data/train-*`

**Dataset Info**:
- Features:
  - `audio`: Audio file
  - `transcription`: Corresponding text transcription
- Splits:
  - `train`
    - Number of bytes: `5,933,166,725.824`
    - Number of examples: `130,634`
- Download Size: `5,547,933,432` bytes
- Dataset Size: `5,933,166,725.824` bytes

## Usage

To load this dataset in your Python environment using Hugging Face's `datasets` library, use the following code:

```python
from datasets import load_dataset

dataset = load_dataset("path/to/dataset/turkishneuralvoice")