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    Books for AI Model training

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    Deployed on AWS
    Large-scale multilingual textbook corpus containing 2.5B+ words from 38,000+ textbooks across 5,000+ subjects and 15 languages, designed for LLM training, NLP, RAG, and educational AI applications.

    Overview

    Multilingual Textbook Corpus for LLM Training, NLP & Educational AI

    Overview

    This dataset is a large-scale multilingual textbook corpus designed for training and evaluating Large Language Models (LLMs), Natural Language Processing (NLP) systems, Generative AI applications, Retrieval-Augmented Generation (RAG) pipelines, and educational AI platforms.

    The corpus contains more than 2.5 billion words extracted from over 38,000 textbooks, covering 5,000+ academic subjects across 15 languages. The dataset provides broad educational and domain-specific knowledge spanning science, technology, engineering, mathematics (STEM), healthcare, business, social sciences, humanities, law, and other academic disciplines.

    The content is structured to support AI systems that require high-quality educational and knowledge-rich text sources for training, fine-tuning, semantic understanding, knowledge retrieval, and subject-aware reasoning.

    Key Use Cases

    • Large Language Model (LLM) pre-training
    • Supervised Fine-Tuning (SFT)
    • Retrieval-Augmented Generation (RAG)
    • Educational AI and tutoring systems
    • Question answering systems
    • Knowledge extraction and knowledge graph development
    • Semantic search and information retrieval
    • Multilingual NLP applications
    • Domain-specific language model development
    • AI-powered research and learning platforms

    Dataset Features

    • 2.5B+ words of educational content
    • 38,000+ textbooks
    • 5,000+ academic subjects
    • 15 languages
    • Broad disciplinary coverage across multiple knowledge domains
    • Structured educational content suitable for AI training
    • High-volume multilingual text for foundation model development
    • Support for both general-purpose and domain-specific AI systems

    Academic Coverage

    The corpus spans a wide range of educational disciplines including:

    • Science and Technology
    • Engineering
    • Mathematics
    • Medicine and Healthcare
    • Business and Finance
    • Economics
    • Law and Public Policy
    • Social Sciences
    • Humanities
    • Language and Literature
    • Education and Research Methodology

    This broad subject diversity enables the development of knowledge-rich AI systems capable of understanding specialized terminology, academic concepts, and domain-specific contexts.

    AI Training Applications

    The dataset is designed to support modern AI development workflows, including foundation model training, instruction tuning, semantic understanding, knowledge retrieval, and multilingual language model development. The scale and diversity of the corpus make it suitable for organizations building enterprise AI solutions, educational technologies, intelligent search systems, and next-generation generative AI applications.

    Data Collection

    The corpus has been curated from educational and academic sources and organized to support large-scale machine learning and artificial intelligence workflows. The dataset provides extensive multilingual and multidisciplinary coverage, enabling the development of robust and globally relevant AI systems.

    Licensing & Access

    This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the full corpus are available upon request.

    InfoBay AI

    Email:  datareq@infobay.ai  Phone: +91 8303174762

    Highlights

    • Comprehensive multilingual textbook corpus containing 2.5B+ words from 38,000+ textbooks, spanning 5,000+ subjects and 15 languages, providing broad academic knowledge for AI training and research.
    • Supports LLM pre-training, fine-tuning, RAG, knowledge extraction, semantic search, educational AI, and domain-specific NLP applications across science, technology, medicine, business, and humanities.
    • High-quality educational content covering diverse academic disciplines and global languages, enabling the development of knowledge-rich AI systems, multilingual foundation models, and subject-aware generative AI applications.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Books for AI Model training

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Cost savings %
    Product Access
    Dimension that grants access to the product for subscribers.
    $0.00
    100%

    Vendor refund policy

    Refunds are not offered on this product.

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    Usage information

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    Delivery details

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    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    5000 Books for AI Model Training
    All historical revisions
    All future revisions
    Not included
    Not included

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