feat: add tech docs data

.gitattributes

@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+
+*.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,39 @@
 ---
 license: apache-2.0
+task_categories:
+- question-answering
+language:
+- en
+size_categories:
+- 1K<n<2K
 ---
+
+# 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 1,028 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.

data.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ae14037f249bf9bb1d1ab5e8b5b875f9e01e65cba14be2329dc0512e02e8ada
+size 33519602