| ---
|
| license: apache-2.0
|
| task_categories:
|
| - question-answering
|
| - text-generation
|
| language:
|
| - en
|
| size_categories:
|
| - 1K<n<10K
|
| tags:
|
| - code
|
| - documentation
|
| ---
|
|
|
| # Technical Documentation Dataset
|
|
|
| A curated collection of technical documentation and guides spanning various cloud-native technologies, infrastructure tools, and machine learning frameworks. This dataset contains 1,397 documents in JSONL format, covering essential topics for modern software development and DevOps practices.
|
|
|
| ## Dataset Overview
|
|
|
| This dataset includes documentation across multiple domains:
|
|
|
| - **Cloud Platforms**: GCP (83 docs), EKS (33 docs)
|
| - **Kubernetes Ecosystem**: Kubernetes reference (251 docs), ArgoCD (60 docs), Cilium (33 docs)
|
| - **Infrastructure as Code**: Terraform (151 docs)
|
| - **Observability**: Prometheus (32 docs), Grafana (43 docs)
|
| - **Service Mesh**: Istio (33 docs)
|
| - **Machine Learning**: scikit-learn (55 docs)
|
| - **And more**: Including Docker, Redis, Linux, and various Kubernetes-related tools
|
|
|
| ## Format
|
|
|
| Each document is stored in JSONL format, making it easy to process and integrate into various applications. The dataset is hosted on Hugging Face for convenient access and version control.
|
|
|
| ## Usage
|
|
|
| This collection is particularly useful for:
|
| - Technical documentation systems
|
| - Knowledge bases
|
| - Search implementations
|
| - Training documentation-related ML models
|
|
|
| You can access and download the dataset directly from the Hugging Face repository using standard tools and libraries.
|
|
|
