2026-10-15T17:14:21Z https://data.mendeley.com/oai

oai:data.mendeley.com/y7zgrm95fn.1 2026-01-07T13:01:43Z

Alvi, Taha STEM_QA_Test Mendeley Data 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. Note: This is not the full dataset. For further details contact [Email: Ph: ] English Dataset doi:10.17632/y7zgrm95fn.1 oai:data.mendeley.com/y7zgrm95fn.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/y7zgrm95fn 2026-01-07T13:01:43Z