README.md

---
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.