metadata
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
The full corpus is curated across multiple STEM/Non-STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF). This sample represents the structure and quality of the larger dataset.
Dataset composition (full corpus):
-Text corpus: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada)
-Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages)
-Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC.
-Audio data: 821K+ hours of Podcasts and Call Center data(Dual Channel)
-Medical datasets: 78M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports.
This repository includes:
-A small preview subset of the Podcast Tamil Audio data
-Flat, viewer-friendly schema for inspection
-Parquet files suitable for benchmarking and evaluation
Purpose of this dataset:
-Dataset preview and validation
-Model evaluation and experimentation
-Schema and format inspection before full-scale access
⚠️ Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms.
Please contact
-Ph: (91)8303174762
-Em: vipul.mishra@infobay.ai
For more details.