metadata
license: cc-by-4.0
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+ textbooks 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 Bengali STEM TextBook 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, Please connect [Em: vipul.mishra@infobay.ai ph: 8303174762]