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100K+ EBooks related to STEM & Non-STEM in multiple languages
Academic Citations & Papers
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£40,670,625
About
AI/ML Training Dataset – Rights-Cleared Academic & Professional E-Book Collection
Description
This data product is a comprehensive, rights-cleared digital collection of academic, scientific, technical, professional, and educational e-books owned and licensed by Arts & Science Academic Publications (ASAP).
With a family background in the publishing industry dating back to 1940, we are a fourth-generation, family-owned publishing organization with more than 80 years of publishing experience. Since 2014, we have expanded our digital publishing operations through ASAP to build and distribute a large-scale digital library of academic and professional publications.
The dataset has been curated specifically for Artificial Intelligence (AI) and Machine Learning (ML) applications, including large language model (LLM) pre-training, supervised fine-tuning, domain adaptation, retrieval-augmented generation (RAG), semantic search, knowledge extraction, multilingual natural language processing (NLP), OCR enhancement, and AI model evaluation.
All content is proprietary, rights-cleared, and available under a global, non-exclusive commercial licensing model.
Data Product Features
| Feature | Description |
|---|---|
| Content Type | Digital academic and professional e-books |
| Publishers | Content sourced from 100+ publishers worldwide |
| Ownership | Proprietary copyrighted content with commercial licensing rights |
| Collection Size | 100,000+ e-books |
| Formats | PDF, EPUB |
| Languages | English, Hindi, Indian regional languages, selected African languages, and additional languages upon request |
| Subject Coverage | Academic, Scientific, Technical, Medical, Engineering, Management, Humanities, Social Sciences, Literature, Professional, and Reference Publications |
| 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 digital e-books accompanied by bibliographic metadata.
- Primary Formats: PDF, EPUB
- Metadata Format: Microsoft Excel (.xlsx) or other formats upon request
- Delivery Method: Secure FTP/SFTP
Data Volume
- Number of Records: 100,000+ digital publications
- Metadata Fields: Approximately 10 standard bibliographic fields (customizable)
- Content Formats: PDF and EPUB
- Dataset Size: Varies depending on the licensed collection and subject selection
Usage
This data product is ideal for a wide range of AI and machine learning applications, including:
- Large Language Model (LLM) Training: Pre-training foundation and domain-specific language models.
- Model Fine-Tuning: Supervised fine-tuning and instruction tuning.
- Retrieval-Augmented Generation (RAG): Building knowledge bases and retrieval systems.
- Natural Language Processing (NLP): Text classification, summarization, question answering, translation, named entity recognition, and sentiment analysis.
- Semantic Search: Development of embedding models and vector databases.
- Knowledge Graph Construction: Entity extraction and relationship discovery.
- Optical Character Recognition (OCR): OCR training, validation, and post-processing.
- Academic Research: Computational linguistics, digital humanities, and AI research.
- Multilingual AI: Development of multilingual and cross-lingual language models.
- Enterprise AI: Knowledge assistants, document intelligence, enterprise search, and intelligent automation.
Coverage
The dataset offers extensive multilingual and multidisciplinary coverage suitable for global AI applications.
- Geographic Coverage: Global
- Time Range: Publications spanning multiple decades, including legacy publishing archives dating back to 1940 and digital publishing collections from 2014 onwards.
Language Coverage
- English
- Hindi
- Indian Regional Languages
- Selected African Languages
- European Languages
- Spanish
- Korean
- Arabic
- Additional languages available upon request
Subject Coverage
- Academic
- Science
- Technology
- Engineering
- Medicine
- Management
- Social Sciences
- Humanities
- Literature
- Professional Education
- Reference Works
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 AI and language technologies, including:
- AI Companies: Large language model development and fine-tuning.
- Foundation Model Developers: Domain adaptation and multilingual model training.
- Data Scientists: Machine learning model development and evaluation.
- Research Institutions: AI, NLP, and computational linguistics research.
- Universities: Academic research and educational projects.
- Technology Companies: Enterprise search, document intelligence, and AI assistants.
- Publishers: Content enrichment and digital publishing analytics.
- Government Organizations: Language technologies and knowledge management.
- Healthcare and Engineering Organizations: Specialized domain AI models.
- Businesses: Intelligent document processing and enterprise AI solutions.
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, Regional Languages, etc. |
| Subject | String | Subject classification | Academic, Medical, Engineering, Literature, 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 100,000+ proprietary digital publications licensed by Arts & Science Academic Publications (ASAP).
- Content originates from 100+ publishers worldwide, with appropriate commercial licensing rights for AI and ML applications.
- Commercial licensing is available globally 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, publication type, file format, or specific business requirements.
- Secure enterprise-scale delivery is available via FTP/SFTP.
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£40,670,625
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