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.
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.
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.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract dimension called Product Access (Units). You buy units that grant access to the training-data product for the duration of your contract. Pricing scales with the number of units you commit to, rather than by usage or instance size. You license expert-verified corpus collections spanning audio, textbooks, healthcare, coding, and other categories. Licenses can be scoped to specific languages or domains, and minimum license volumes apply. There are no separate tiers or add-on dimensions to combine — you select the unit quantity that fits your scope.
Top-of-mind questions for buyers
What does one unit of Product Access grant, and how is it counted?
A unit grants access to the licensed corpus for your contract term. Licenses can be scoped by language and domain, such as a specific language paired with a specific vertical. Minimum license volumes apply, so you commit to a set quantity that matches your chosen scope.
Can I license just specific language subsets or domain slices instead of the whole corpus?
Yes. The corpus is structured by language, domain, and category. You can scope a license to combinations like one language plus one vertical. Minimum license volumes apply to each scope. Custom corpus collection for languages or domains not in the standard catalogue is also available, with minimum engagement sizes.
What delivery formats and data types are included when I license access?
Deliverables span audio, textbooks, healthcare, coding, and other categories. Audio ships as WAV/FLAC with JSON transcripts and metadata. Textbooks ship as JSONL and Parquet. Healthcare ships as DICOM plus PDF with anonymised metadata. Coding ships as JSONL per language with a problem taxonomy. Each dataset includes provenance documentation.
infobay.ai
Helpful?
Vendor refund policy
Refunds are not offered on this product.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
The promised structural change in public health never came. AI is the first tool that can advance the mission without needing another decade. PH360 brings AI to the work, built for public health.
Brevity is an AI conversation training platform that turns every sales conversation into a revenue opportunity. Reps and managers practice with realistic, customizable role-plays that simulate objections, procurement, renewals, and C-suite discussions, then get instant scoring, coaching tips, and dashboards to track improvement. Brevity is SOC 2 Type II compliant, supports SSO (Okta), and does not train its models on your data, customer data remains private. Brevity is used to increase meetings booked, reduce \"no decision,\" and accelerate time-to-quota across SDR, AE, CS, and leadership teams.
Build and deploy Visual AI solutions quickly and easily. LandingLens ensures optimal data quality and consistency, making sophisticated Visual AI accessible even with limited datasets for various applications across all industries.
Build AI Voice Agents With Vonage Voice API and Amazon Nova Sonic
Reimagine how your business engages with customers with the Vonage Voice API and Amazon Nova Sonic integration. This groundbreaking solution merges the Vonage developer-friendly communications infrastructure with the real-time conversational AI capabilities from Amazon Nova Sonic and empowers businesses to deploy expressive and human-like AI voice agents.
For organizations looking to improve their customer experience, scale their reach to a global customer base, and migrate their existing IVR and IVA technologies to a modern agentic AI. This integration enables them to quickly deploy effective, scalable, and human-like AI voice agents. The power of Vonage Voice API and the intelligence of the Amazon Nova Sonic native speech-to-speech large language model make it all possible.