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| license: cc-by-4.0 |
| size_categories: |
| - 10K<n<100K |
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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. |
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| Dataset composition (full corpus): |
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| -Text corpus: 1.9B+ words of curated STEM and Non-STEM educational content across 27000+ 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: 1M+ hours of Podcasts and Call Center data(Dual Channel) |
| -Medical datasets: 34M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports. |
| -Custom procurement: Dedicated team supporting any domain or language |
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| This repository includes: |
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| -A small preview subset of the Complex Images. |
| -Flat, viewer-friendly schema for inspection |
| -Parquet files suitable for benchmarking and evaluation |
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| Purpose of this dataset: |
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| -Dataset preview and validation |
| -Model evaluation and experimentation |
| -Schema and format inspection before full-scale access |
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| ⚠️ Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms. |
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| Please contact |
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| -Ph: (91)8303174762 |
| -Em: vipul.mishra@infobay.ai |
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| For more details. |
