Datasets:
metadata
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-*
- Path:
Dataset Info:
- Features:
audio
: Audio filetranscription
: Corresponding text transcription
- Splits:
train
- Number of bytes:
5,933,166,725.824
- Number of examples:
130,634
- Number of bytes:
- 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:
from datasets import load_dataset
dataset = load_dataset("path/to/dataset/turkishneuralvoice")