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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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tags: |
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- STEM |
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- Ceramics |
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- English |
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- Textbook |
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- Raw |
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- Tuned |
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- Dataset |
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- Advanced |
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size_categories: |
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- 1M<n<10M |
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--- |
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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: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada) |
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-Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages) |
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-Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC. |
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-Audio data: 821K+ hours of Podcasts and Call Center data(Dual Channel) |
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-Medical datasets: 30M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports. |
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This repository includes: |
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-A small preview subset of the STEM English TextBook data |
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-Flat, viewer-friendly schema for inspection |
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-Parquet files suitable for benchmarking and evaluation |
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Purpose of this dataset: |
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-Dataset preview and validation |
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-Model evaluation and experimentation |
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-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. |
