license: cc-by-4.0
dataset_info:
features:
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 415598181
num_examples: 10
download_size: 376117415
dataset_size: 415598181
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- ta
tags:
- Audio
- Podcast
- tamil
- indic
- india
- raw
- benchmark
- optimization
- deep_learning
size_categories:
- 1K<n<10K
Dataset Description:
This dataset is a large-scale collection of raw Tamil podcast audio, specifically designed to support the development and pretraining of speech and language models.
It captures real-world interactions across diverse topics and formats. The dataset preserves natural speech patterns, speaker variability, and authentic podcast environments, making it highly valuable for building robust and scalable AI systems. Additionally, this dataset can be used in data pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows.
Key Use Cases
-Pretraining Automatic Speech Recognition (ASR) systems
-Speech-to-Text (STT) systems
-Self-supervised learning (SSL) for speech models
-Large Language Models (LLMs) with audio understanding capabilities
-Speech representation learning
-Noise-robust and real-world voice applications
Dataset Specification
-Language: Tamil
-Type: Raw, unprocessed podcast audio, Single Channel
-Speech Style: Natural, conversational, unscripted
-Audio Conditions: Real-world environments (including noise and variability)
-Domains: discussions, storytelling, interviews, etc.
-Format: .wav, .mp3, .ogg, etc.
-Sampling Rate: 8000 Hz
-Duration: 3315 hours
Value of Single channel Data
-Training models that can handle real-world conversational complexity
-Improved performance in noisy and uncontrolled environments
-Development of accurate speaker diarization systems
-Better generalization across accents, tones, and speaking styles
-Flexible preprocessing and custom annotation pipelines tailored to specific business needs
Basic JSON Schema
{
"id": "string",
"audio_filepath": "string",
"duration": "float",
"language": "string",
"sample_rate": "integer",
"format": "string",
"num_speakers": "integer",
"domain": "string",
"metadata": {
"source": "string",
"recording_condition": "string"
}
}
Full Dataset Overview
Total Duration (in hours): 57,568
This dataset is part of a large multilingual podcast audio collection covering the following languages: Arabic, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Punjabi, Tamil, Telugu, and Urdu.
Data Creation
Procured through formal agreements and generated in the ordinary course of business.
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay AI or contact us directly.
-Ph: (91)8303174762
-Email: vipul@infobay.ai