InfoBayAI/STEM_TextBook_English

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: 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.