license: other
license_name: other-non-commercial
license_link: LICENSE
language:
- en
tags:
- aws
- amazon
- cloud
- cloud-computing
- documentation
- technical-documents
- embeddings
- llm
- vector-database
- faiss
- offline-embedding
- pdf
- chunking
- openai
- langchain
- cybersecurity
pretty_name: AWS All-in-One Docs Dataset
size_categories:
- 100K<n<1M
📚 AWS PDF Chunk Dataset
This dataset consists of chunked text extracted from all publicly available PDF documents on the Amazon Web Services (AWS) official website. The data includes whitepapers, user guides, technical documentation, and best practice manuals—covering virtually every AWS service, concept, and architecture in depth.
It is designed to serve as a high-quality knowledge base for use in embedding generation, vector databases, and retrieval-augmented generation (RAG) systems.
📦 Dataset Structure
The dataset is provided as a .json file. Each entry corresponds to a text chunk extracted from a PDF document using a sliding window with 800-token chunks and 100-token overlap. This preserves semantic continuity and improves embedding-based retrieval performance.
[
{
"id": "EC2Guide-001",
"source": "EC2Guide.pdf",
"chunk_id": 1,
"text": "Amazon EC2 allows scalable computing capacity in the AWS cloud..."
},
...
]
⚠️ Disclaimer This dataset is not affiliated with or endorsed by Amazon Web Services. All content is extracted from publicly available PDF files hosted on aws.amazon.com and is provided strictly for educational and research purposes under fair use.
Commercial usage is not allowed.
🔗 Author & Contact
- GitHub: github.com/semihkalkandelen
- LinkedIn: linkedin.com/in/semih-kalkandelen-6b1b47281/