The full corpus is curated across multiple 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: 30M+ 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 STEM English Q&A 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. Note: This is not the full dataset.

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