README.md

metadata

Modalities: Text
language:
  - en
license: cc-by-4.0
task_categories:
  - question-answering
task_ids:
  - multiple-choice-qa
modalities:
  - text
formats:
  - parquet
size_categories:
  - <1K
tags:
  - education
  - stem
  - medical
pretty_name: STEM QnA Sample Dataset

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.