Dark Mode
50,000+ NON-STEM MULTILINGUAL EBOOKS
Academic Citations & Papers
Tags and Keywords
£20,000,000
About
AI/ML Training Dataset – Rights-Cleared Multilingual Non-STEM E-Book Collection
Description
This data product is a comprehensive, rights-cleared collection of 50,000+ multilingual Non-STEM e-books licensed by Arts & Science Academic Publications (ASAP) for commercial Artificial Intelligence (AI) and Machine Learning (ML) applications.
With a publishing heritage dating back to 1940, we are a fourth-generation, family-owned publishing organization with more than 80 years of publishing experience. Since 2014, ASAP has expanded its digital publishing operations to build and distribute one of the largest digital collections of academic, professional, and educational publications from 100+ publishers worldwide.
The collection comprises high-quality, professionally published books across a broad range of Non-STEM disciplines, including business, management, commerce, law, economics, humanities, social sciences, education, literature, languages, arts, history, and other professional subjects. In addition to its extensive subject coverage, the dataset includes publications in multiple international and regional languages, making it highly suitable for multilingual AI development.
The dataset has been curated specifically for Large Language Model (LLM) pre-training, supervised fine-tuning, Retrieval-Augmented Generation (RAG), semantic search, multilingual natural language processing (NLP), document intelligence, knowledge extraction, educational AI, translation models, and cross-lingual language model development.
All content is proprietary, rights-cleared, and available under a global, non-exclusive commercial licensing model.
Data Product Features
| Feature | Description |
|---|---|
| Content Type | Digital Non-STEM e-books |
| Publishers | Content sourced from 100+ publishers worldwide |
| Ownership | Proprietary copyrighted content with commercial licensing rights |
| Collection Size | 50,000+ e-books |
| Formats | PDF, EPUB |
| Languages | Primarily English, with additional publications in Hindi, Korean, Spanish, Italian, German, French, Portuguese, Russian, other European languages, and numerous Indian regional languages |
| Subject Coverage | Business, Management, Commerce, Economics, Finance, Law, Education, Humanities, Social Sciences, Literature, Languages, Arts, History, Political Science, Public Administration, Journalism, Tourism, Hospitality, Library Science, and other Non-STEM disciplines |
| Metadata Availability | Bibliographic metadata available |
| Sample Data | Representative samples available upon request |
| Licensing Models | Fixed-fee, royalty-based, or hybrid commercial licensing |
| AI Rights | Licensed for AI/ML training, fine-tuning, evaluation, and commercial AI model development |
Distribution
The dataset is distributed as a structured collection of multilingual Non-STEM publications accompanied by bibliographic metadata.
- Primary Formats: PDF, EPUB
- Metadata Format: Microsoft Excel (.xlsx), CSV, or other formats upon request
- Delivery Method: Secure FTP/SFTP
Data Volume
- Number of Records: 50,000+ multilingual Non-STEM publications
- Metadata Fields: Approximately 10 standard bibliographic fields (customizable)
- Content Formats: PDF and EPUB
- Estimated Dataset Size: Approximately 500–1,000 GB, depending on publication length, image content, and file compression.
Usage
This data product is ideal for a broad range of AI and machine learning applications, including:
- Large Language Model (LLM) Pre-training
- Instruction and Domain Fine-Tuning
- Multilingual AI Development
- Cross-Lingual Language Models
- Machine Translation
- Retrieval-Augmented Generation (RAG)
- Natural Language Processing (NLP)
- Semantic Search
- Question Answering Systems
- Knowledge Graph Construction
- Document Intelligence
- Content Recommendation Systems
- Educational AI Platforms
- Digital Libraries
- Enterprise Knowledge Management
- Academic, Humanities, and Social Science Research
Coverage
The dataset provides extensive multilingual coverage across Non-STEM disciplines and professional literature.
- Geographic Coverage: Global
- Publishing Coverage: 100+ publishers worldwide
- Time Range: Publications spanning multiple decades, including legacy publishing archives dating back to 1940 and digital publishing collections from 2014 onwards.
Language Coverage
The collection includes publications in:
- English
- Hindi
- Bengali
- Tamil
- Telugu
- Marathi
- Gujarati
- Punjabi
- Malayalam
- Kannada
- Odia
- Assamese
- Urdu
- Korean
- Spanish
- Italian
- German
- French
- Portuguese
- Russian
- Other European Languages
- Additional Indian Regional Languages
- Additional languages available upon request
Non-STEM Subject Coverage
- Business Administration
- Management
- Commerce
- Economics
- Finance
- Accounting
- Marketing
- Human Resource Management
- Entrepreneurship
- Law
- Political Science
- Public Administration
- International Relations
- Sociology
- Psychology
- Anthropology
- Education
- Humanities
- Literature
- English Language
- Linguistics
- Philosophy
- History
- Geography
- Religious Studies
- Fine Arts
- Performing Arts
- Journalism
- Mass Communication
- Library & Information Science
- Tourism & Hospitality
- General Studies
License
Proprietary
AI Training Rights
The Licensee is granted a non-exclusive, worldwide, and perpetual right to:
- Use the Data Product to train, fine-tune, and evaluate machine learning models, including Large Language Models (LLMs).
- Incorporate Data Product content into AI models and commercialize the resulting model outputs.
- Create derivative AI artifacts, including model weights, embeddings, vector databases, indexes, and similar outputs, for any lawful purpose.
Restrictions
- The Data Product itself may not be sold, redistributed, sublicensed, or shared outside the scope of the licensed usage.
- The Licensee must comply with all applicable intellectual property, copyright, privacy, and data protection laws.
Who Can Use It
This dataset is designed for organizations developing advanced multilingual AI and language technologies.
- Foundation Model Developers
- Generative AI Companies
- Enterprise AI Companies
- Machine Translation Providers
- Search Engine Developers
- EdTech Companies
- Digital Library Providers
- Technology Companies
- Research Institutions
- Universities
- Government Organizations
- Publishers
- Data Scientists
- Enterprise Knowledge Management Teams
Data Dictionary
| Column Name | Data Type | Description | Possible Values / Notes |
|---|---|---|---|
| ISBN | String | International Standard Book Number | ISBN-10 or ISBN-13 |
| Title | String | Title of the publication | Free text |
| Author(s) | String | Author(s) or contributor(s) | Multiple values possible |
| Publisher | String | Publishing entity | One of 100+ participating publishers |
| Publication Year | Integer | Year of publication | YYYY |
| Language | String | Primary language of the publication | English, Hindi, Korean, Spanish, German, Italian, etc. |
| Subject | String | Non-STEM subject classification | Management, Law, Literature, Education, Economics, Humanities, etc. |
| File Format | String | Digital file format | PDF or EPUB |
| Number of Pages | Integer | Total number of pages (where available) | Numeric |
Additional Notes
- The dataset contains 50,000+ proprietary multilingual Non-STEM publications licensed by Arts & Science Academic Publications (ASAP).
- Content originates from 100+ publishers worldwide, with commercial licensing rights for AI and machine learning applications.
- The collection includes publications in English, Hindi, Korean, Spanish, Italian, German, French, Portuguese, Russian, numerous Indian regional languages, and other European languages, making it suitable for multilingual LLM training, cross-lingual NLP, and translation models.
- Commercial licensing is available worldwide on a non-exclusive basis.
- Metadata, representative samples, and technical specifications are available upon request.
- Flexible licensing options include fixed-fee, royalty-based, and hybrid commercial agreements.
- Collections can be customized by subject area, language, publisher, publication type, file format, or specific business requirements.
- Secure enterprise-scale delivery is available via FTP/SFTP.
TRUSTLoading...
£20,000,000
Download Dataset in PDF Format
Recommended Datasets
Loading recommendations...