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license: cc-by-4.0
size_categories:
- n>1K
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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: 78M+ 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 Medical Pathology report 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. 
  
  Please contact 

    -Ph: (91)8303174762
    -Em: vipul.mishra@infobay.ai
  
  For more details.