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Data · dataset · 2026

STEM_TextBook_Arabic

Listed in Teesside University Research Data Repository

The full corpus is curated across multiple STEM/Non-STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF).

Description

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 Arabic 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 warning:

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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.

Note

This is not the full dataset. For full details, Please contact [Em: vipul.mishra@infobay.ai]

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Audio 75% · Computed tomography 65% · Linguistics 74% · Magnetic resonance imaging 65% · Text 75% · Video 75%
Provenance · 1 source records, 19 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/2jnjsby264.111 d agoJSON v1
FieldAssertionExtractorEvidence
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