Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale academic notes corpus containing structured educational content, study materials, subject notes, summaries, and learning resources across multiple disciplines for AI training, educational technology, and knowledge systems.
Overview
Academic Notes Dataset for AI Training
Overview
This dataset is a large-scale collection of academic notes, study materials, educational content, and structured learning resources designed to support artificial intelligence, educational technology, knowledge extraction, language model training, and research applications.
The corpus contains subject-specific academic notes, summaries, explanations, learning materials, and educational references covering multiple disciplines and educational domains. The content is organized to provide structured knowledge that supports learning, teaching, information retrieval, and AI-driven educational systems.
The collection enables the development of AI systems capable of understanding educational content, academic concepts, subject-specific knowledge, and curriculum-oriented learning materials.
Dataset Coverage
The collection includes:
- Academic Notes
- Study Materials
- Subject Notes
- Educational Summaries
- Learning Resources
- Academic Explanations
- Reference Materials
- Conceptual Learning Content
- Curriculum-Aligned Educational Content
- Knowledge-Based Academic Resources
Key Features
- Structured educational content
- Multi-disciplinary subject coverage
- Academic learning resources
- Knowledge-rich educational materials
- Concept explanations and summaries
- Subject-specific study content
- Large-scale educational corpus
- Suitable for AI training and evaluation
Applications
- Large Language Model (LLM) Training
- Educational AI
- Knowledge Extraction
- Semantic Search
- Intelligent Tutoring Systems
- Educational Chatbots
- Retrieval-Augmented Generation (RAG)
- Learning Platforms
- Knowledge Graph Development
- Academic Research
Subject Coverage
The corpus may include content across:
- Science
- Mathematics
- Engineering
- Technology
- Healthcare
- Business Studies
- Economics
- Social Sciences
- Humanities
- Education
AI Development Use Cases
Organizations can utilize this dataset to develop educational assistants, learning recommendation systems, tutoring platforms, academic search engines, knowledge retrieval systems, and next-generation educational AI applications.
The structured nature of the notes makes the dataset particularly valuable for AI systems requiring high-quality educational knowledge and subject-specific context.
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete academic notes corpus are available upon request.
InfoBay AI
Email: datareq@infobay.ai Phone: +91 9236398619
Highlights
- Large-scale collection of academic notes, study materials, educational summaries, and subject-specific learning content spanning multiple disciplines and knowledge domains.
- Includes structured educational content covering concepts, explanations, definitions, examples, and curriculum-aligned learning resources for academic and research applications.
- Designed for LLM training, educational AI, knowledge extraction, semantic search, tutoring systems, Retrieval-Augmented Generation (RAG), and learning platforms.
Details
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Pricing
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.
Dimension | Description | Cost/month | Cost savings % |
|---|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $0.00 | 100% |
Dimensions summary
This listing uses a single pricing dimension called Product Access (Units). You buy units under a contract to gain access to the academic notes dataset for AI training. Pricing scales with the number of units you select, rather than through separate tiers or instance sizes. There is one access path, so you choose a quantity that fits your needs. The dataset supports model training workflows such as pre-training, reasoning, and instruction tuning using academic textbook content. Contact the vendor to confirm how units map to data volume or scope for your project.
Top-of-mind questions for buyers
The marketplace table defines units only as access grants, not a fixed data volume. The seller structures corpus content by language, domain, and category, and notes that minimum license volumes apply. Contact the vendor to confirm how units correspond to the textbook data scope your project needs.
Yes. The corpus is organized by language, domain, and category, so licenses can be scoped to specific combinations such as a language plus a subject area. Minimum license volumes apply. Confirm with the vendor which subsets your units cover before committing.
Textbook data ships as gzipped JSONL files with a Parquet metadata manifest, in a format compatible with common training frameworks. Each dataset includes provenance documentation, such as source attribution for the textbooks. Confirm format details with the vendor for your access scope.
infobay.ai
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Vendor refund policy
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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.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Academic Notes | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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