---
dataset_info:
  features:
  - name: ID
    dtype: int64
  - name: kural
    dtype: string
  - name: audio
    dtype: audio
  - name: adhigaram
    dtype: string
  - name: paal
    dtype: string
  splits:
  - name: train
    num_bytes: 54954027.39
    num_examples: 1330
  download_size: 54573065
  dataset_size: 54954027.39
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
language:
- ta
tags:
- tamil
- thirukural
- audio
---

# Thirukural Voice-Based Dataset

## 📖 About the Dataset
This dataset contains **voice recordings of all 1330 thirukural couplets**, generated using the **gTTS (Google Text-to-Speech) Python package**. It aims to make thirukural more accessible for AI/ML applications, educational tools, and Tamil language preservation efforts.

### 🏛 Dataset Contents
Each record in this dataset includes:
- **ID** – The unique number of the Kural (1 to 1330)
- **Kural** – The original Tamil couplet
- **Audio** – Pre-generated audio file (MP3 format)
- **Adhigaram** – The chapter to which the Kural belongs
- **Paal** – The broader section of thirukural (அறத்துப்பால், பொருட்பால், காமத்துப்பால்)

## 🎯 Why This Dataset?
### 🔹 Structured & Ready-to-Use
Unlike Google’s TTS, which generates speech on demand, this dataset provides **pre-generated, structured data** for direct use in research and applications.

### 🔹 Offline Accessibility
No internet dependency – the audio files are **locally available** for any project.

### 🔹 Consistency & Reliability
TTS models evolve over time, but this dataset ensures **uniform pronunciation** and **consistent quality** across applications.

### 🔹 Open & Community-Driven
An **open-source resource** for researchers, developers, and educators working on **Tamil language AI, NLP, and speech synthesis**.

## 🛠 Usage
### Install Dependencies
To load this dataset in Python:
```python
from datasets import load_dataset

dataset = load_dataset("Selvakumarduraipandian/thirukural-audio")
```
### Access Data
Each record is structured as follows:
```python
for data in dataset["train"]:
    print(f"ID: {data['ID']}")
    print(f"Kural: {data['kural']}")
    print(f"Audio File: {data['audio']}")
    print(f"Adhigaram: {data['adhigaram']}")
    print(f"Paal: {data['paal']}")
```

## 📢 Contributors
This dataset was created by  
- [Selvakumar Duraipandian](https://linkedin.com/in/selvakumarduraipandian)  
- [SivaSakthy V](https://www.linkedin.com/in/sivasakthy-v-b54807257/)

 we used Python and gTTS.

## 📌 License
This dataset is open-source and free to use for research and educational purposes. If you use this dataset, please credit **thirukural Voice-Based Dataset**.

## 💬 Feedback & Contributions
We welcome feedback and contributions! Feel free to reach out if you'd like to improve or expand this dataset. 🚀

#thirukural #Tamil #AI #MachineLearning #SpeechSynthesis